Triple

T5673848
Position Surface form Disambiguated ID Type / Status
Subject César statuette E125037 entity
Predicate creator P184 FINISHED
Object César Baldaccini E125035 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: César Baldaccini | Statement: [César statuette, creator, César Baldaccini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: César Baldaccini
Context triple: [César statuette, creator, César Baldaccini]
  • A. César Baldaccini chosen
    César Baldaccini, commonly known simply as César, was a prominent 20th-century French sculptor famed for his innovative use of compressed materials and his influential role in the Nouveau Réalisme movement.
  • B. Luis Krahl
    Luis Krahl is a mountaineer known for making the first recorded ascent of Cerro San Valentín, the highest peak in Chilean Patagonia.
  • C. Claudio Brook
    Claudio Brook was a Mexican actor known for his work in both Mexican cinema and international films, including collaborations with director Luis Buñuel.
  • D. De Martino
    De Martino is an Italian surname borne by various notable figures in fields such as politics, academia, and the arts.
  • E. Luciano Martino
    Luciano Martino was an Italian film producer and screenwriter known for his work in genre cinema, including numerous comedies and thrillers from the 1960s through the 1990s.
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023700ba88190ba7c829785f20c82 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dc5d8b08190b4646853f68beb62 completed March 22, 2026, 11:39 p.m.
Created at: March 22, 2026, 3:43 p.m.