Triple

T17565222
Position Surface form Disambiguated ID Type / Status
Subject Kiaya Ufgood E427793 entity
Predicate universe P4832 FINISHED
Object Willow franchise 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: Willow franchise | Statement: [Kiaya Ufgood, universe, Willow franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willow franchise
Context triple: [Kiaya Ufgood, universe, Willow franchise]
  • A. Willow
    Willow is a feminine given name often associated with the graceful willow tree and commonly used in English-speaking countries.
  • B. Willow chosen
    Willow is a 1988 fantasy adventure film directed by Ron Howard that follows an aspiring sorcerer who must protect a prophesied child from an evil queen.
  • C. Willow
    "Willow" is a folk-pop song by American singer-songwriter Taylor Swift, released as the lead single from her 2020 album "Evermore."
  • D. Willow
    Willow is a small community in south-central Alaska known as a gateway to outdoor recreation, including fishing, hiking, and dog mushing.
  • E. The Chronicles of Narnia film series
    The Chronicles of Narnia film series is a set of fantasy adventure movies based on C. S. Lewis’s beloved book series, following children who discover a magical world ruled by talking animals, mythical creatures, and epic battles between good and evil.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4592ce42c8190a54a0a328c5e8ffc completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.