Triple

T25809117
Position Surface form Disambiguated ID Type / Status
Subject Machaon E650055 entity
Predicate healed P84200 FINISHED
Object Philoctetes 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: Philoctetes | Statement: [Machaon, healed, Philoctetes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: healed
Context triple: [Machaon, healed, Philoctetes]
  • A. recovered
    Indicates that an entity has returned to a previous, healthier, normal, or functional state after a period of loss, damage, illness, or impairment.
  • B. curedWith chosen
    Indicates that one entity is treated or healed by using another entity as the remedy or therapeutic method.
  • C. restored
    Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
  • D. actedDespiteWounds
    Indicates that an entity performed an action or fulfilled a role even though it was wounded or injured at the time.
  • E. recoveredIn
    Indicates that something lost, damaged, or impaired has been restored or regained within a particular context, process, or location.
  • 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_69e7ab35d264819095367f7e80c983ff completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f600c2a7748190809b59109e476169 completed May 2, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69f4a0fed15881909b789251fe5d8d45 completed May 1, 2026, 12:47 p.m.
Created at: April 22, 2026, 7:07 a.m.