Triple

T16062626
Position Surface form Disambiguated ID Type / Status
Subject Cassadine family E389648 entity
Predicate setting P1957 FINISHED
Object Port Charles, New York E387728 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: Port Charles, New York | Statement: [Cassadine family, setting, Port Charles, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Charles, New York
Context triple: [Cassadine family, setting, Port Charles, New York]
  • A. Port Charles chosen
    Port Charles is the fictional upstate New York town that serves as the primary setting for the long-running American soap opera "General Hospital."
  • B. Bayville, New York
    Bayville, New York is a small seaside village in Nassau County known for its waterfront homes, beaches, and views across Long Island Sound.
  • C. Port Sebastian (fictional town)
    Port Sebastian is a fictional seafaring town often depicted as a bustling pirate haven filled with ships, taverns, and lawless adventure.
  • D. Coast City
    Coast City is a major fictional American coastal metropolis in the DC Universe, best known as the longtime home of Green Lantern Hal Jordan.
  • E. Bayside
    Bayside is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its suburban feel, good schools, and waterfront parks.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837a04108190b5a1dbbe2063039e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c44fe7c81908eb32c0b0967365f completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 4:57 a.m.