Triple

T11221433
Position Surface form Disambiguated ID Type / Status
Subject Tom Burke E265574 entity
Predicate portrayedCharacter P1668 FINISHED
Object Athos E13563 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: Athos | Statement: [Tom Burke, portrayedCharacter, Athos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athos
Context triple: [Tom Burke, portrayedCharacter, Athos]
  • A. Athos
    Athos is a mountainous peninsula in northern Greece best known for its autonomous monastic community of Eastern Orthodox monasteries.
  • B. Athos chosen
    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. Porthos
    Porthos is Captain Jonathan Archer’s beloved beagle in Star Trek: Enterprise, often seen accompanying him aboard the starship Enterprise NX-01.
  • E. Aramis
    Aramis is one of the three musketeers in Alexandre Dumas' classic novel, known for his elegance, wit, and religious vocation.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8eb84c48190b4f3bede254afde2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4977cab4481909c6b94ca07cd5e4a completed April 19, 2026, 8:51 a.m.
Created at: April 8, 2026, 9:30 p.m.