Triple

T4030373
Position Surface form Disambiguated ID Type / Status
Subject Un pour tous, tous pour un E83693 entity
Predicate usedBy P260 FINISHED
Object d’Artagnan E12991 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: d’Artagnan | Statement: [Un pour tous, tous pour un, usedBy, d’Artagnan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: d’Artagnan
Context triple: [Un pour tous, tous pour un, usedBy, d’Artagnan]
  • A. d'Artagnan chosen
    d'Artagnan is a brave and ambitious young Gascon who becomes a musketeer and serves as the central hero in Alexandre Dumas's swashbuckling adventures.
  • B. Athos
    Athos is a brooding, noble swordsman and one of the titular trio in Alexandre Dumas’ classic adventure novel "The Three Musketeers."
  • C. Porthos
    Porthos is a larger-than-life, boastful yet brave musketeer in Alexandre Dumas’ novel "The Three Musketeers," known for his strength, appetite, and flamboyant personality.
  • D. Aramis
    Aramis is one of the three musketeers in Alexandre Dumas' classic novel, known for his elegance, wit, and religious vocation.
  • E. Chevalier de Paris
    Chevalier de Paris was a notable French performer and entertainer associated with the famed Parisian music hall scene.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf1d8208190951a20ad7e5ab7bc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589ccd0a48190b98dbe7268df678f completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:36 p.m.