Triple
T3113843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lea Michele |
E65010
|
entity |
| Predicate | debutWork |
P3278
|
FINISHED |
| Object |
Les Misérables (Broadway, 1995 revival)
Les Misérables (Broadway, 1995 revival) is a New York production of the acclaimed musical adaptation of Victor Hugo’s novel, featuring a refreshed staging and cast during its mid-1990s run.
|
E327812
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Les Misérables (Broadway, 1995 revival) | Statement: [Lea Michele, debutWork, Les Misérables (Broadway, 1995 revival)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Misérables (Broadway, 1995 revival) Context triple: [Lea Michele, debutWork, Les Misérables (Broadway, 1995 revival)]
-
A.
Les Misérables (1998 film)
Les Misérables (1998 film) is a dramatic adaptation of Victor Hugo’s classic novel, featuring Geoffrey Rush alongside Liam Neeson and Uma Thurman in a story of redemption, justice, and social injustice in 19th-century France.
-
B.
Les Misérables (Original Broadway Cast Recording)
Les Misérables (Original Broadway Cast Recording) is the acclaimed album capturing the performances of the original Broadway cast of the hit musical adaptation of Victor Hugo’s novel.
-
C.
Les Misérables
Les Misérables is a classic 19th-century French novel by Victor Hugo that explores themes of justice, redemption, and social inequality through the intertwined lives of several characters in post-revolutionary France.
-
D.
Les Misérables
Les Misérables is a 2012 epic musical drama film adaptation of the famed Victor Hugo novel and stage musical, known for its sweeping story of injustice and redemption in 19th-century France.
-
E.
Les Misérables (2018 miniseries)
Les Misérables (2018 miniseries) is a BBC television adaptation of Victor Hugo’s classic novel, featuring David Oyelowo among its principal cast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Les Misérables (Broadway, 1995 revival) Triple: [Lea Michele, debutWork, Les Misérables (Broadway, 1995 revival)]
Generated description
Les Misérables (Broadway, 1995 revival) is a New York production of the acclaimed musical adaptation of Victor Hugo’s novel, featuring a refreshed staging and cast during its mid-1990s run.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Misérables (Broadway, 1995 revival) Target entity description: Les Misérables (Broadway, 1995 revival) is a New York production of the acclaimed musical adaptation of Victor Hugo’s novel, featuring a refreshed staging and cast during its mid-1990s run.
-
A.
Les Misérables (1998 film)
Les Misérables (1998 film) is a dramatic adaptation of Victor Hugo’s classic novel, featuring Geoffrey Rush alongside Liam Neeson and Uma Thurman in a story of redemption, justice, and social injustice in 19th-century France.
-
B.
Les Misérables (Original Broadway Cast Recording)
Les Misérables (Original Broadway Cast Recording) is the acclaimed album capturing the performances of the original Broadway cast of the hit musical adaptation of Victor Hugo’s novel.
-
C.
Les Misérables
Les Misérables is a classic 19th-century French novel by Victor Hugo that explores themes of justice, redemption, and social inequality through the intertwined lives of several characters in post-revolutionary France.
-
D.
Les Misérables
Les Misérables is a 2012 epic musical drama film adaptation of the famed Victor Hugo novel and stage musical, known for its sweeping story of injustice and redemption in 19th-century France.
-
E.
Les Misérables (2018 miniseries)
Les Misérables (2018 miniseries) is a BBC television adaptation of Victor Hugo’s classic novel, featuring David Oyelowo among its principal cast.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43c79448190aa72f707319e8c5e |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039b11d4819095ee77d84d6e7b8a |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b20563abdc8190a51e1cfbcc6e0075 |
completed | March 12, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b205f1b3c08190a63fd9494dc8aee8 |
completed | March 12, 2026, 12:16 a.m. |
Created at: March 8, 2026, 3:04 p.m.