Triple

T6800080
Position Surface form Disambiguated ID Type / Status
Subject Fates E156160 entity
Predicate relatedConcept P37 FINISHED
Object Tyche (fortune) E58319 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: Tyche (fortune) | Statement: [Fates, relatedConcept, Tyche (fortune)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyche (fortune)
Context triple: [Fates, relatedConcept, Tyche (fortune)]
  • A. Tyche chosen
    Tyche is the Greek goddess of fortune, chance, and the prosperity or misfortune of cities and individuals.
  • B. Fortune
    Fortune is the surname of E. Charlton Fortune, an American painter known for her Impressionist and modernist works, particularly coastal scenes of California.
  • C. Fortune
    Fortune is a long-running American business magazine known for its influential rankings such as the Fortune 500 and in-depth coverage of global economics and corporate leadership.
  • D. Fortune
    Fortune is the allegorical personification of luck and the capricious turning of fate, often depicted as a powerful yet unpredictable force influencing human affairs.
  • E. Ploutos
    Ploutos is the Greek personification of wealth and agricultural abundance, often associated with prosperity granted through the earth’s fertility.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e457408190a0ad9b0c48d8147c completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9826648190b4f59c1a8efc4b9c completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.