Triple

T20524229
Position Surface form Disambiguated ID Type / Status
Subject Deep in My Heart E503891 entity
Predicate hasCastMember P2308 FINISHED
Object Patricia Gage 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: Patricia Gage | Statement: [Deep in My Heart, hasCastMember, Patricia Gage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Gage
Context triple: [Deep in My Heart, hasCastMember, Patricia Gage]
  • A. Patricia Gage chosen
    Patricia Gage was a British-born Canadian actress known for her work in film, television, and theatre, particularly in Canadian productions from the 1970s through the 1990s.
  • B. Patricia Morrow
    Patricia Morrow is an American actress best known for her television work in the 1950s and 1960s, including a prominent role on the soap opera "Peyton Place."
  • C. Patricia Gaul
    Patricia Gaul is an American character actress known for her supporting roles in films such as "The Big Chill," "Silverado," and "Road Trip."
  • D. Patricia Ward
    Patricia Ward is best known as the widow of legendary American actor, dancer, and director Gene Kelly.
  • E. Patricia Johnston
    Patricia Johnston was an American lyricist known for writing songs for mid-20th-century films and popular music, often in collaboration with composer Gene de Paul.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f48691c8190af0ac959e92e10d9 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:37 a.m.