Triple

T10457437
Position Surface form Disambiguated ID Type / Status
Subject Owning Mahowny E246582 entity
Predicate screenwriter P2831 FINISHED
Object Maurice Chauvet
Maurice Chauvet is a screenwriter known for his work on the gambling drama film "Owning Mahowny."
E864438 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: Maurice Chauvet | Statement: [Owning Mahowny, screenwriter, Maurice Chauvet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice Chauvet
Context triple: [Owning Mahowny, screenwriter, Maurice Chauvet]
  • A. Henri Breuil
    Henri Breuil was a pioneering French archaeologist and prehistorian renowned for his groundbreaking studies and documentation of Paleolithic cave art across Europe.
  • B. Édouard Deperthes
    Édouard Deperthes was a 19th-century French architect best known for co-designing the post-Commune reconstruction of Paris’s Hôtel de Ville in a neo-Renaissance style.
  • C. Jean-Pierre Lesieur
    Jean-Pierre Lesieur is a French surrealist artist associated with the Surrealist Group in Paris.
  • D. David Reichel
    David Reichel is the husband of American sportscaster Tracy Wolfson and is known primarily for his private life outside the public spotlight.
  • E. Victor Laloux
    Victor Laloux was a prominent French architect of the late 19th and early 20th centuries, best known for his grand Beaux-Arts railway stations and public buildings in Paris.
  • 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: Maurice Chauvet
Triple: [Owning Mahowny, screenwriter, Maurice Chauvet]
Generated description
Maurice Chauvet is a screenwriter known for his work on the gambling drama film "Owning Mahowny."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maurice Chauvet
Target entity description: Maurice Chauvet is a screenwriter known for his work on the gambling drama film "Owning Mahowny."
  • A. Henri Breuil
    Henri Breuil was a pioneering French archaeologist and prehistorian renowned for his groundbreaking studies and documentation of Paleolithic cave art across Europe.
  • B. Édouard Deperthes
    Édouard Deperthes was a 19th-century French architect best known for co-designing the post-Commune reconstruction of Paris’s Hôtel de Ville in a neo-Renaissance style.
  • C. Jean-Pierre Lesieur
    Jean-Pierre Lesieur is a French surrealist artist associated with the Surrealist Group in Paris.
  • D. David Reichel
    David Reichel is the husband of American sportscaster Tracy Wolfson and is known primarily for his private life outside the public spotlight.
  • E. Victor Laloux
    Victor Laloux was a prominent French architect of the late 19th and early 20th centuries, best known for his grand Beaux-Arts railway stations and public buildings in Paris.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe4a56e08190ab56d762d6a91b01 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f182cb481909f838d6d1dfa7e79 completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c64e008190a914b66be16566d1 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dd0c28481908008aea09bf956ca completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:18 p.m.