Triple

T6817324
Position Surface form Disambiguated ID Type / Status
Subject Michael Barnathan E156798 entity
Predicate notableWork P4 FINISHED
Object City of Angels E81982 NE 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: City of Angels | Statement: [Michael Barnathan, notableWork, City of Angels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Angels
Context triple: [Michael Barnathan, notableWork, 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 an American medical drama television series set in a Los Angeles hospital, notable for its predominantly African American cast.
  • D. Hollywood Heights
    Hollywood Heights is a hillside residential neighborhood in central Los Angeles known for its winding streets, historic homes, and close proximity to the Hollywood Bowl and Hollywood Boulevard.
  • E. Stranger in Paradise
    "Stranger in Paradise" is a popular song closely associated with Tony Bennett, adapted from Alexander Borodin's music and featured in the musical *Kismet*.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d354177481908ab3cf5437c095e2 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e0c62c8190b3b3b092ea48d4c5 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.