Triple
T16875888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Boucher |
E421296
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Nicole Guettard
Nicole Guettard is an actress known for her role in the French crime drama film "Le Boucher."
|
E1237880
|
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 Guettard | Statement: [Le Boucher, hasCastMember, Nicole Guettard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicole Guettard Context triple: [Le Boucher, hasCastMember, Nicole Guettard]
-
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 Berger
Nicole Berger was a French film actress of the 1950s and early 1960s, known for her poignant performances in several New Wave–era dramas.
-
C.
Nicole Maurey
Nicole Maurey was a French film and television actress known for her work in European cinema from the 1940s through the 1970s.
-
D.
Jocelyn Trochez
Jocelyn Trochez is known as the wife of Puerto Rican singer-songwriter Kany García.
-
E.
Christine Guillemy
Christine Guillemy is a French local politician who serves as the mayor of the city of Chaumont in northeastern France.
- 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 Guettard Triple: [Le Boucher, hasCastMember, Nicole Guettard]
Generated description
Nicole Guettard is an actress known for her role in the French crime drama film "Le Boucher."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicole Guettard Target entity description: Nicole Guettard is an actress known for her role in the French crime drama film "Le Boucher."
-
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 Berger
Nicole Berger was a French film actress of the 1950s and early 1960s, known for her poignant performances in several New Wave–era dramas.
-
C.
Nicole Maurey
Nicole Maurey was a French film and television actress known for her work in European cinema from the 1940s through the 1970s.
-
D.
Jocelyn Trochez
Jocelyn Trochez is known as the wife of Puerto Rican singer-songwriter Kany García.
-
E.
Christine Guillemy
Christine Guillemy is a French local politician who serves as the mayor of the city of Chaumont in northeastern France.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2b4abd08190841c5bb0b0eaa177 |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c355f4108190a4209599bf5f50da |
completed | May 10, 2026, 5:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c413314881909e308588af09ce2a |
completed | May 10, 2026, 5:44 p.m. |
Created at: April 10, 2026, 5:29 a.m.