Triple

T35521613
Position Surface form Disambiguated ID Type / Status
Subject The Oak and the Reed E1026563 entity
Predicate hasCharacterTraitForOak P143643 FINISHED
Object proud LITERAL 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: proud | Statement: [The Oak and the Reed, hasCharacterTraitForOak, proud]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCharacterTraitForOak
Context triple: [The Oak and the Reed, hasCharacterTraitForOak, proud]
  • A. hasCharacterTraitForŌkuninushi
    Indicates that an entity possesses a particular character trait specifically in relation to Ōkuninushi.
  • B. hasSupportingCharacterTrait
    Indicates that a supporting character possesses a particular trait, quality, or characteristic.
  • C. oakCharacter chosen
    Indicates that an entity possesses the defining qualities or characteristics associated with an oak.
  • D. hasFamilyTrait
    Indicates that a particular trait or characteristic is shared among members of the same family or lineage.
  • E. hasHumanCharacteristic
    Indicates that an entity possesses a trait, quality, or behavior typically associated with humans.
  • 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_69f76dfe78b081908e2b14cb88dd8c00 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fedec693b08190b0f8bfdb921e0766 completed May 9, 2026, 7:14 a.m.
PD Predicate disambiguation batch_69fede16c1d48190a20d8a9c5722c307 completed May 9, 2026, 7:11 a.m.
Created at: May 3, 2026, 4:04 p.m.