Triple

T12008999
Position Surface form Disambiguated ID Type / Status
Subject Pauline Collins E285856 entity
Predicate notableWork P4 FINISHED
Object City of Joy E545992 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 Joy | Statement: [Pauline Collins, notableWork, City of Joy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Joy
Context triple: [Pauline Collins, notableWork, City of Joy]
  • A. City of Joy chosen
    City of Joy is a 1992 drama film set in the slums of Calcutta, exploring themes of poverty, hope, and human resilience.
  • B. Shining City
    "Shining City" is a critically acclaimed stage play by Irish dramatist Conor McPherson, often noted for its haunting exploration of guilt and the supernatural.
  • C. City of Women
    City of Women is a 1980 surreal Italian film directed by Federico Fellini that explores shifting gender roles and male fantasies through a dreamlike journey into a world dominated by women.
  • D. City of Smiles
    City of Smiles is the popular nickname of Bacolod City in the Philippines, known for its friendly residents and vibrant MassKara Festival.
  • E. The City of Good Living
    The City of Good Living is a promotional nickname highlighting the comfortable, family-friendly quality of life in San Carlos, California.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d61a4c81909e6cb6500b61df94 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b24f0c481909afd288d4f57d3b6 completed May 1, 2026, 11:14 a.m.
Created at: April 8, 2026, 9:46 p.m.