Triple

T18607895
Position Surface form Disambiguated ID Type / Status
Subject Henri d'Aramitz E454805 entity
Predicate inspiredFictionalCharacter P86314 FINISHED
Object Aramis NE NERFINISHED

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: Aramis | Statement: [Henri d'Aramitz, inspiredFictionalCharacter, Aramis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aramis
Context triple: [Henri d'Aramitz, inspiredFictionalCharacter, Aramis]
  • A. Aramis chosen
    Aramis is one of the three musketeers in Alexandre Dumas' classic novel, known for his elegance, wit, and religious vocation.
  • B. Aramis Knight
    Aramis Knight is an American actor best known for his role as Bean in the science fiction film adaptation of "Ender's Game."
  • C. Athos
    Athos is a mountainous peninsula in northern Greece best known for its autonomous monastic community of Eastern Orthodox monasteries.
  • D. Athos
    Athos is a brooding, noble swordsman and one of the titular trio in Alexandre Dumas’ classic adventure novel "The Three Musketeers."
  • E. Porthos
    Porthos is Captain Jonathan Archer’s beloved beagle in Star Trek: Enterprise, often seen accompanying him aboard the starship Enterprise NX-01.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54cff3be8819080ab20045bd18a4d completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.