Triple

T12144749
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Byron E289286 entity
Predicate appearedIn P795 FINISHED
Object Port Charles 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 | Statement: [Jeffrey Byron, appearedIn, Port Charles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Charles
Context triple: [Jeffrey Byron, appearedIn, Port Charles]
  • 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. 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.
  • C. 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.
  • D. Genoa City
    Genoa City is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "The Young and the Restless."
  • E. Amity Harbor
    Amity Harbor is a small waterfront hamlet on Long Island in Suffolk County, New York, known for its residential canals and proximity to Great South Bay.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7e24ac819083e85fb8edb2ed2c completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.