Triple
T20698673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis Lai |
E508718
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object |
Nicole Croisille
Nicole Croisille is a French singer and actress known for her emotive vocal performances and contributions to film soundtracks and popular chanson.
|
E1456152
|
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: Nicole Croisille | Statement: [Francis Lai, workedWith, Nicole Croisille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicole Croisille Context triple: [Francis Lai, workedWith, Nicole Croisille]
-
A.
Nicole Cauverien
Nicole Cauverien is a television producer best known for serving as an executive producer on the BBC drama adaptation "The Boy with the Topknot."
-
B.
Nicole Maurey
Nicole Maurey was a French film and television actress known for her work in European cinema from the 1940s through the 1970s.
-
C.
Nicole Guettard
Nicole Guettard is an actress known for her role in the French crime drama film "Le Boucher."
-
D.
Nicole Boivin
Nicole Boivin is an archaeologist and anthropologist known for her research on human migration, cultural exchange, and the long-term interactions between humans and their environments.
-
E.
Sandrine Doucet
Sandrine Doucet is a French politician known for her involvement in centrist and liberal political movements.
- 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: Nicole Croisille Triple: [Francis Lai, workedWith, Nicole Croisille]
Generated description
Nicole Croisille is a French singer and actress known for her emotive vocal performances and contributions to film soundtracks and popular chanson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicole Croisille Target entity description: Nicole Croisille is a French singer and actress known for her emotive vocal performances and contributions to film soundtracks and popular chanson.
-
A.
Nicole Cauverien
Nicole Cauverien is a television producer best known for serving as an executive producer on the BBC drama adaptation "The Boy with the Topknot."
-
B.
Nicole Maurey
Nicole Maurey was a French film and television actress known for her work in European cinema from the 1940s through the 1970s.
-
C.
Nicole Guettard
Nicole Guettard is an actress known for her role in the French crime drama film "Le Boucher."
-
D.
Nicole Boivin
Nicole Boivin is an archaeologist and anthropologist known for her research on human migration, cultural exchange, and the long-term interactions between humans and their environments.
-
E.
Sandrine Doucet
Sandrine Doucet is a French politician known for her involvement in centrist and liberal political movements.
- 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_69e0b4c2b2a481909e31e9cb8f81ab55 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c113e4cc8190aabc11e3f2530e32 |
completed | April 21, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918b6f4788190838893fac16ab4cf |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a0919608d148190aaf1abee12fe8935 |
completed | May 17, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0919f58008819097e05a187ed4b3de |
completed | May 17, 2026, 1:29 a.m. |
Created at: April 16, 2026, 12:11 p.m.