Triple

T15681502
Position Surface form Disambiguated ID Type / Status
Subject Larry E377586 entity
Predicate partOfCastEnsembleWith P36850 FINISHED
Object Rita Hanson 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: Rita Hanson | Statement: [Larry, partOfCastEnsembleWith, Rita Hanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Hanson
Context triple: [Larry, partOfCastEnsembleWith, Rita Hanson]
  • A. Rita Hanson chosen
    Rita Hanson is the compassionate and intelligent television producer who serves as Phil Connors' love interest and moral compass in the film "Groundhog Day."
  • B. Rita Ryack
    Rita Ryack is an American costume designer known for her elaborate, character-driven work on films such as "How the Grinch Stole Christmas" (2000).
  • C. Rita Rogers
    Rita Rogers is an actress known for appearing in the 1971 Western film "The Hired Hand."
  • D. Myra Hanson
    Myra Hanson is a central character in The Evil Within video game series, known as Sebastian Castellanos's wife and a key figure in the overarching narrative.
  • E. Rita DeMara
    Rita DeMara is a Marvel Comics character who becomes the supervillain-turned-hero Yellowjacket, known for her size-changing abilities and complex moral journey.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f306a1c8190a819541a3cc51f5a completed April 16, 2026, 2:53 a.m.
Created at: April 10, 2026, 4:16 a.m.