Triple

T13350613
Position Surface form Disambiguated ID Type / Status
Subject Brad Silberling E318058 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: [Brad Silberling, notableWork, City of Angels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Angels
Context triple: [Brad Silberling, 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 an American medical drama television series set in a Los Angeles hospital, notable for its predominantly African American cast.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f47fd7c8190b8d98a181acd7710 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.