Triple

T14411748
Position Surface form Disambiguated ID Type / Status
Subject Blancanieves E357344 entity
Predicate producer P490 FINISHED
Object Jérôme Vidal
Jérôme Vidal is a film producer best known for his work on the acclaimed Spanish silent drama "Blancanieves."
E1123039 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: Jérôme Vidal | Statement: [Blancanieves, producer, Jérôme Vidal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jérôme Vidal
Context triple: [Blancanieves, producer, Jérôme Vidal]
  • A. Laurent Chalumeau
    Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
  • B. Christophe Pélissier
    Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
  • C. Laurent Brosse
    Laurent Brosse is a French local politician who serves as the mayor of the suburban Parisian town of Conflans-Sainte-Honorine.
  • D. Laurent Barès
    Laurent Barès is a French cinematographer known for his work on genre films, particularly in horror and action.
  • E. Éric Pliez
    Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
  • 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: Jérôme Vidal
Triple: [Blancanieves, producer, Jérôme Vidal]
Generated description
Jérôme Vidal is a film producer best known for his work on the acclaimed Spanish silent drama "Blancanieves."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jérôme Vidal
Target entity description: Jérôme Vidal is a film producer best known for his work on the acclaimed Spanish silent drama "Blancanieves."
  • A. Laurent Chalumeau
    Laurent Chalumeau is a French writer and screenwriter known for his work in film and literature.
  • B. Christophe Pélissier
    Christophe Pélissier is a French football coach known for guiding modest clubs to promotion in the French league system.
  • C. Laurent Brosse
    Laurent Brosse is a French local politician who serves as the mayor of the suburban Parisian town of Conflans-Sainte-Honorine.
  • D. Laurent Barès
    Laurent Barès is a French cinematographer known for his work on genre films, particularly in horror and action.
  • E. Éric Pliez
    Éric Pliez is a French politician who serves as the mayor of Paris’s 20th arrondissement.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90c9b3448190aec1608836a5e913 completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe387f28688190b9d20f1e2bbc0ddc completed May 8, 2026, 7:24 p.m.
NEDg Description generation batch_69fe6128b2948190988aea647d54426e completed May 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69fe617af4a881908a906c34995d2403 completed May 8, 2026, 10:19 p.m.
Created at: April 10, 2026, 1:17 a.m.