Triple

T21739766
Position Surface form Disambiguated ID Type / Status
Subject John Seale E536622 entity
Predicate workedOn P3 FINISHED
Object City of Angels 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: City of Angels | Statement: [John Seale, workedOn, City of Angels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Angels
Context triple: [John Seale, workedOn, City of Angels]
  • A. City of Angels chosen
    City of Angels is a 1998 romantic fantasy film starring Nicolas Cage and Meg Ryan, known for its melancholic tone and themes of love, mortality, and sacrifice.
  • B. City of Angels
    City of Angels is a popular nickname for Angeles City in the Philippines, reflecting both its name and its vibrant urban character.
  • C. City of Angels
    City of Angels is a popular nickname for Los Angeles, highlighting both its Spanish-derived name and its iconic status as a major cultural and entertainment hub.
  • D. City of Angels
    City of Angels is an American medical drama television series set in a Los Angeles hospital, notable for its predominantly African American cast.
  • E. Village of the Angels
    "Village of the Angels" is a 2021 Doctor Who: Flux episode featuring the Thirteenth Doctor facing the Weeping Angels in a tense, horror-driven story set in a 1960s English village.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a714c208190b96efe23ed3bf0db completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.