Triple

T11713465
Position Surface form Disambiguated ID Type / Status
Subject Princesse Tam-Tam E278429 entity
Predicate castMember P1668 FINISHED
Object Georges Peclet
Georges Peclet was a French actor known for his roles in early 20th-century French cinema.
E1021338 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: Georges Peclet | Statement: [Princesse Tam-Tam, castMember, Georges Peclet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georges Peclet
Context triple: [Princesse Tam-Tam, castMember, Georges Peclet]
  • A. Édouard Bérard
    Édouard Bérard was a French architect best known for co-designing the Palais des Beaux-Arts de Lille, one of France’s largest and most important fine arts museums.
  • B. François Perrin
    François Perrin is the hapless, unemployed journalist who becomes a wealthy industrialist’s son’s “human toy” in the French comedy film *Le Jouet*.
  • C. Émile Perreau-Pradier
    Émile Perreau-Pradier was a notable French figure commemorated by the literary Prix Émile Perreau-Pradier that bears his name.
  • D. André-Louis Auzière
    André-Louis Auzière was a French banker best known as the first husband of Brigitte Macron and the father of Laurence Auzière-Jourdan.
  • E. Ernest Vessiot
    Ernest Vessiot was a French mathematician known for his contributions to differential equations and differential Galois theory, and for his influential role in French mathematical education.
  • 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: Georges Peclet
Triple: [Princesse Tam-Tam, castMember, Georges Peclet]
Generated description
Georges Peclet was a French actor known for his roles in early 20th-century French cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Georges Peclet
Target entity description: Georges Peclet was a French actor known for his roles in early 20th-century French cinema.
  • A. Édouard Bérard
    Édouard Bérard was a French architect best known for co-designing the Palais des Beaux-Arts de Lille, one of France’s largest and most important fine arts museums.
  • B. François Perrin
    François Perrin is the hapless, unemployed journalist who becomes a wealthy industrialist’s son’s “human toy” in the French comedy film *Le Jouet*.
  • C. Émile Perreau-Pradier
    Émile Perreau-Pradier was a notable French figure commemorated by the literary Prix Émile Perreau-Pradier that bears his name.
  • D. André-Louis Auzière
    André-Louis Auzière was a French banker best known as the first husband of Brigitte Macron and the father of Laurence Auzière-Jourdan.
  • E. Ernest Vessiot
    Ernest Vessiot was a French mathematician known for his contributions to differential equations and differential Galois theory, and for his influential role in French mathematical education.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4be10088190854699385d1f6a95 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2527570819092314ee0a678e53c completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e32bf5508190b4dc58971f8f64d0 completed May 3, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_69f6e407dd988190b928b8931985a815 completed May 3, 2026, 5:58 a.m.
Created at: April 8, 2026, 9:40 p.m.