Triple

T9217932
Position Surface form Disambiguated ID Type / Status
Subject Kristanna Loken E221286 entity
Predicate appearedIn P795 FINISHED
Object Philly E348955 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: Philly | Statement: [Kristanna Loken, appearedIn, Philly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philly
Context triple: [Kristanna Loken, appearedIn, Philly]
  • A. Phila
    Phila was a prominent Macedonian noblewoman and political figure of the early Hellenistic period, known for her influential role in the power struggles following Alexander the Great’s death.
  • B. Philadelphia chosen
    Philadelphia is a 1993 American legal drama film that broke ground in mainstream cinema for its portrayal of HIV/AIDS, homophobia, and discrimination in the workplace.
  • C. Philadelphia
    Philadelphia is a major historic U.S. city in Pennsylvania known for its role in the American Revolution, iconic landmarks like Independence Hall and the Liberty Bell, and its rich cultural and academic institutions.
  • D. Philadelphia
    Philadelphia was the ancient Greco-Roman name of the city now known as Amman, the capital of Jordan.
  • E. Philadelphia
    Philadelphia is a small town located in Loudon County, Tennessee, known for its rural character and historic Southern charm.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0ae3d081908ff3f5dab52df5ae completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09ba1d3488190b2c999204f0d545b completed April 4, 2026, 5:03 a.m.
Created at: March 30, 2026, 7:27 p.m.