Triple
T11192732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fanfare of Love |
E264840
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Charles Dechamps
Charles Dechamps was a French actor known for his roles in early 20th-century cinema and theater.
|
E1135461
|
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: Charles Dechamps | Statement: [Fanfare of Love, castMember, Charles Dechamps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Dechamps Context triple: [Fanfare of Love, castMember, Charles Dechamps]
-
A.
Henri Deslandres
Henri Deslandres was a French astronomer known for his pioneering work in spectroscopy and solar physics.
-
B.
François Chattot
François Chattot is a French actor known for his work in film, theatre, and television.
-
C.
Henri Dutetre
Henri Dutetre was one of the discoverers of the prehistoric cave site of Pech Merle in southwestern France.
-
D.
Honoré Beaugrand
Honoré Beaugrand was a Canadian journalist, author, and politician best known as the mayor of Montreal and for his contributions to French-Canadian literature and folklore.
-
E.
Nicolas-François Guillard
Nicolas-François Guillard was an 18th-century French librettist known for writing texts for major operas by composers such as Christoph Willibald Gluck and Antonio Salieri.
- 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: Charles Dechamps Triple: [Fanfare of Love, castMember, Charles Dechamps]
Generated description
Charles Dechamps was a French actor known for his roles in early 20th-century cinema and theater.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charles Dechamps Target entity description: Charles Dechamps was a French actor known for his roles in early 20th-century cinema and theater.
-
A.
Henri Deslandres
Henri Deslandres was a French astronomer known for his pioneering work in spectroscopy and solar physics.
-
B.
François Chattot
François Chattot is a French actor known for his work in film, theatre, and television.
-
C.
Henri Dutetre
Henri Dutetre was one of the discoverers of the prehistoric cave site of Pech Merle in southwestern France.
-
D.
Honoré Beaugrand
Honoré Beaugrand was a Canadian journalist, author, and politician best known as the mayor of Montreal and for his contributions to French-Canadian literature and folklore.
-
E.
Nicolas-François Guillard
Nicolas-François Guillard was an 18th-century French librettist known for writing texts for major operas by composers such as Christoph Willibald Gluck and Antonio Salieri.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8be025481909d311b587418dfb2 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea598fd888190b53ab937bad1d824 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea71a4ab08190aa044608de1cf676 |
completed | May 9, 2026, 3:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea97741dc8190b56facdbff937c78 |
completed | May 9, 2026, 3:26 a.m. |
Created at: April 8, 2026, 9:29 p.m.