Triple

T5103648
Position Surface form Disambiguated ID Type / Status
Subject Orca (Quint's boat) E115037 entity
Predicate hasPropType P3586 FINISHED
Object on-screen practical boat prop 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: on-screen practical boat prop | Statement: [Orca (Quint's boat), hasPropType, on-screen practical boat prop]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPropType
Context triple: [Orca (Quint's boat), hasPropType, on-screen practical boat prop]
  • A. hasPropertyType chosen
    Indicates that an entity possesses or is associated with a specific type or category of property.
  • B. haveProperty
    Indicates that an entity possesses, exhibits, or is characterized by a particular property or attribute.
  • C. hasParType
    Indicates that an entity has a specific parent type or category to which it belongs.
  • D. hasRuntimeType
    Indicates that an entity is of, or conforms to, a specific type when evaluated at runtime rather than at compile time.
  • E. hasFlowType
    Indicates the type or category of flow associated with or exhibited by an 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7588c1cc81909d380f91ee214808 completed March 20, 2026, 4:27 p.m.
PD Predicate disambiguation batch_69bd715e06808190931934dc9930f997 completed March 20, 2026, 4:10 p.m.
Created at: March 20, 2026, 1:41 p.m.