Triple

T7154310
Position Surface form Disambiguated ID Type / Status
Subject XO Éditions E166769 entity
Predicate hasNotableAuthor P4244 FINISHED
Object Patrick Poivre d’Arvor
Patrick Poivre d’Arvor is a prominent French journalist, television news anchor, and author known for presenting TF1’s evening news for several decades.
E644890 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: Patrick Poivre d’Arvor | Statement: [XO Éditions, hasNotableAuthor, Patrick Poivre d’Arvor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Poivre d’Arvor
Context triple: [XO Éditions, hasNotableAuthor, Patrick Poivre d’Arvor]
  • A. Martin Fougerol
    Martin Fougerol is a music video director known for his work on the video for the song "Vertigo."
  • B. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • C. Tony Robert-Fleury
    Tony Robert-Fleury was a 19th-century French painter and influential art teacher known for his historical scenes and his role in training many artists at Parisian academies.
  • D. Jo Bouillon
    Jo Bouillon was a French bandleader and conductor best known as the fourth husband of entertainer Josephine Baker.
  • E. Jean-Claude Olivier
    Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
  • 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: Patrick Poivre d’Arvor
Triple: [XO Éditions, hasNotableAuthor, Patrick Poivre d’Arvor]
Generated description
Patrick Poivre d’Arvor is a prominent French journalist, television news anchor, and author known for presenting TF1’s evening news for several decades.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Patrick Poivre d’Arvor
Target entity description: Patrick Poivre d’Arvor is a prominent French journalist, television news anchor, and author known for presenting TF1’s evening news for several decades.
  • A. Martin Fougerol
    Martin Fougerol is a music video director known for his work on the video for the song "Vertigo."
  • B. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • C. Tony Robert-Fleury
    Tony Robert-Fleury was a 19th-century French painter and influential art teacher known for his historical scenes and his role in training many artists at Parisian academies.
  • D. Jo Bouillon
    Jo Bouillon was a French bandleader and conductor best known as the fourth husband of entertainer Josephine Baker.
  • E. Jean-Claude Olivier
    Jean-Claude Olivier is a writer associated with the Juicy brand or publication.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f68384819095e6aef89555442a completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adb0ea288190b7eef76de30a3a1e completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae1bde448190b546d292d213c8c9 completed March 28, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c7ae73e1a88190a18488b3155b2542 completed March 28, 2026, 10:33 a.m.
Created at: March 27, 2026, 2:46 p.m.