Triple

T13441980
Position Surface form Disambiguated ID Type / Status
Subject Jacek E320384 entity
Predicate hasVariant P455 FINISHED
Object Jacques E19086 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: Jacques | Statement: [Jacek, hasVariant, Jacques]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacques
Context triple: [Jacek, hasVariant, Jacques]
  • A. Jacques chosen
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • B. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • C. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • D. Jules
    Jules is a character in the musical "Sunday in the Park with George," serving as a foil to the artist George and representing the conventional art world's values and commercial success.
  • E. Jules
    Jules is one of the central protagonists in François Truffaut’s classic French New Wave film "Jules and Jim," known for his complex, decades-spanning love triangle with Jim and Catherine.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee704ac8190b4c7f4e0d3a88494 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76ba16b948190b7e753368eabf012 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:40 p.m.