Triple

T11711022
Position Surface form Disambiguated ID Type / Status
Subject Carla Bruni E278372 entity
Predicate spouse P13 FINISHED
Object Nicolas Sarkozy E57209 NE FINISHED

How this triple was built (2 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: Nicolas Sarkozy | Statement: [Carla Bruni, spouse, Nicolas Sarkozy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicolas Sarkozy
Context triple: [Carla Bruni, spouse, Nicolas Sarkozy]
  • A. Nicolas Sarkozy chosen
    Nicolas Sarkozy is a French conservative politician who served as President of France from 2007 to 2012 and played a prominent role in European and international diplomacy.
  • B. François Hollande
    François Hollande is a French Socialist politician who served as President of France from 2012 to 2017.
  • C. François Fillon
    François Fillon is a French conservative politician who served as Prime Minister of France from 2007 to 2012 under President Nicolas Sarkozy.
  • D. Jean-Pierre Raffarin
    Jean-Pierre Raffarin is a French center-right politician who served as Prime Minister of France in the early 2000s and later became a prominent figure in both national and European political affairs.
  • E. Laurence Chirac
    Laurence Chirac was a French dentist and the eldest daughter of former French President Jacques Chirac.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8a49f072c81909c6a964a92e5bc0c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280c4d8f4819094f3ebf67f4584a5 completed April 29, 2026, 10:05 p.m.
Created at: April 8, 2026, 9:40 p.m.