Triple

T7747215
Position Surface form Disambiguated ID Type / Status
Subject Station 19 E175660 entity
Predicate mainCharacter P1183 FINISHED
Object Robert Sullivan E454896 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: Robert Sullivan | Statement: [Station 19, mainCharacter, Robert Sullivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Sullivan
Context triple: [Station 19, mainCharacter, Robert Sullivan]
  • A. Robert Sullivan chosen
    Robert Sullivan is a relatively common personal name shared by multiple notable individuals across fields such as literature, journalism, and sports.
  • B. David Sullivan
    David Sullivan is a British businessman and former pornography and media magnate best known as the co-owner and long-serving chairman of Premier League football club West Ham United.
  • C. Paul Sullivan
    Paul Sullivan is a relatively common name shared by multiple notable individuals, including figures in fields such as music, journalism, and sports.
  • D. Dan Sullivan
    Dan Sullivan is a Republican U.S. Senator from Alaska, known for his work on national security, energy policy, and Arctic issues.
  • E. John Considine
    John Considine is an American actor and screenwriter known for his character roles in film and television from the 1960s onward.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7038caa64819084f61b42a73c2d8b completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be50ac4881909b537f513bed2edd completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:08 p.m.