Triple
T22291997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moulin Rouge (1952 film) |
E551020
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Colette Marchand
Colette Marchand was a French ballerina and actress best known for her Academy Award–nominated supporting role in the 1952 film "Moulin Rouge."
|
E1543784
|
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: Colette Marchand | Statement: [Moulin Rouge (1952 film), starring, Colette Marchand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colette Marchand Context triple: [Moulin Rouge (1952 film), starring, Colette Marchand]
-
A.
Colette Leloup
Colette Leloup was a French film editor known for her work on influential art-house films, including those of the French New Wave era.
-
B.
Colette Hubert
Colette Hubert was the French wife of Senegalese poet and statesman Léopold Sédar Senghor, who served as First Lady of Senegal during part of his political career.
-
C.
Cécile Berthier
Cécile Berthier was the mother of French yé-yé singer and Eurovision winner France Gall.
-
D.
Delphine Delaporte
Delphine Delaporte is known as the spouse of French business executive Thierry Delaporte, the CEO of Wipro.
-
E.
Anne Consigny
Anne Consigny is a French actress known for her acclaimed film and television roles, including César-nominated performances.
- 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: Colette Marchand Triple: [Moulin Rouge (1952 film), starring, Colette Marchand]
Generated description
Colette Marchand was a French ballerina and actress best known for her Academy Award–nominated supporting role in the 1952 film "Moulin Rouge."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colette Marchand Target entity description: Colette Marchand was a French ballerina and actress best known for her Academy Award–nominated supporting role in the 1952 film "Moulin Rouge."
-
A.
Colette Leloup
Colette Leloup was a French film editor known for her work on influential art-house films, including those of the French New Wave era.
-
B.
Colette Hubert
Colette Hubert was the French wife of Senegalese poet and statesman Léopold Sédar Senghor, who served as First Lady of Senegal during part of his political career.
-
C.
Cécile Berthier
Cécile Berthier was the mother of French yé-yé singer and Eurovision winner France Gall.
-
D.
Delphine Delaporte
Delphine Delaporte is known as the spouse of French business executive Thierry Delaporte, the CEO of Wipro.
-
E.
Anne Consigny
Anne Consigny is a French actress known for her acclaimed film and television roles, including César-nominated performances.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d4ef8f08190ae02caeba2099c90 |
completed | May 18, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_6a0b3645f5a881908b322d16c7704e27 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3769c36081909ff732275513bb2b |
completed | May 18, 2026, 3:59 p.m. |
Created at: April 16, 2026, 8:41 p.m.