Triple
T2478817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady in the Dark |
E55154
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Randy Curtis
Randy Curtis is a fictional movie star character who appears as one of the romantic interests in the musical play and film "Lady in the Dark."
|
E269929
|
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: Randy Curtis | Statement: [Lady in the Dark, character, Randy Curtis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randy Curtis Context triple: [Lady in the Dark, character, Randy Curtis]
-
A.
Curtis Craig
Curtis Craig was the male college student who served as the named plaintiff challenging Oklahoma's gender-based drinking age law in the landmark U.S. Supreme Court case Craig v. Boren.
-
B.
Steven Elliott
Steven Elliott is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
C.
Dan Jewett
Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
-
D.
Jeff Danna
Jeff Danna is a Canadian film composer known for his scores for movies such as The Boondock Saints and various animated and dramatic films.
-
E.
Chris Klein
Chris Klein is a former American professional soccer player who later became a sports executive, notably serving as president of Major League Soccer’s LA Galaxy.
- 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: Randy Curtis Triple: [Lady in the Dark, character, Randy Curtis]
Generated description
Randy Curtis is a fictional movie star character who appears as one of the romantic interests in the musical play and film "Lady in the Dark."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Randy Curtis Target entity description: Randy Curtis is a fictional movie star character who appears as one of the romantic interests in the musical play and film "Lady in the Dark."
-
A.
Curtis Craig
Curtis Craig was the male college student who served as the named plaintiff challenging Oklahoma's gender-based drinking age law in the landmark U.S. Supreme Court case Craig v. Boren.
-
B.
Steven Elliott
Steven Elliott is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
C.
Dan Jewett
Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
-
D.
Jeff Danna
Jeff Danna is a Canadian film composer known for his scores for movies such as The Boondock Saints and various animated and dramatic films.
-
E.
Chris Klein
Chris Klein is a former American professional soccer player who later became a sports executive, notably serving as president of Major League Soccer’s LA Galaxy.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd15f95888190a94b5fef7fdf1bcb |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17aea398819092cb14b93abd0ff7 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af18f9af388190bbb4242c89d4272e |
completed | March 9, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af198534c0819090c742f39501fac6 |
completed | March 9, 2026, 7:03 p.m. |
Created at: March 6, 2026, 9:45 p.m.