Triple

T9534944
Position Surface form Disambiguated ID Type / Status
Subject Sinbad and the Eye of the Tiger E229987 entity
Predicate featuresCreatureEffects P83317 FINISHED
Object saber-toothed tiger 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: saber-toothed tiger | Statement: [Sinbad and the Eye of the Tiger, featuresCreatureEffects, saber-toothed tiger]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresCreatureEffects
Context triple: [Sinbad and the Eye of the Tiger, featuresCreatureEffects, saber-toothed tiger]
  • A. featuresMonster
    Indicates that something includes or prominently presents a monster as part of its content or composition.
  • B. specialEffectsBy
    Indicates that the special effects for something (such as a film, scene, or shot) are created or provided by a particular person or entity.
  • C. featuresCreatureOrLegend chosen
    Indicates that something includes, depicts, or prominently involves a particular creature or legendary being.
  • D. usesCreature
    Indicates that one entity employs, controls, or relies on a creature to perform an action or fulfill a function.
  • E. eventEffect
    Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98cc58bc8190ba921410e4b64aaa completed April 1, 2026, 10:14 p.m.
PD Predicate disambiguation batch_69cca56c44f88190a54a5d2a133bb07e completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 8 p.m.