Triple

T19678217
Position Surface form Disambiguated ID Type / Status
Subject Oenone E472510 entity
Predicate refusedToHeal P67720 FINISHED
Object Paris NE NERFINISHED

How this triple was built (3 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: Paris | Statement: [Oenone, refusedToHeal, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Oenone, refusedToHeal, Paris]
  • A. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris chosen
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • D. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • E. Paris
    Paris was an enslaved man held in bondage by George Washington at the President's House in Philadelphia during his presidency.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: refusedToHeal
Context triple: [Oenone, refusedToHeal, Paris]
  • A. actedDespiteWounds
    Indicates that an entity performed an action or fulfilled a role even though it was wounded or injured at the time.
  • B. ultimatelyRefusesToKill
    Indicates that an entity, despite prior opportunity or intent, finally decides not to kill another entity.
  • C. cannotDieInHumanSense
    Indicates that the entity is not subject to death or mortality in the way humans experience or understand it.
  • D. fatallyDamaged
    Indicates that an entity has been harmed or impaired to such an extent that death is inevitable or has already occurred as a result of the damage.
  • E. doesNotCure chosen
    Indicates that an action, treatment, or intervention fails to eliminate or resolve a condition, problem, or disease in the affected entity.
  • F. None of above.

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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bda8348190b0c7816c50aca923 completed April 20, 2026, 3:09 p.m.
PD Predicate disambiguation batch_69e514eb37b8819091502cc954f70eba completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 1:45 p.m.