Triple

T10601085
Position Surface form Disambiguated ID Type / Status
Subject Kurt Barlow E275747 entity
Predicate enemyOf P437 FINISHED
Object Ben Mears E195227 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: Ben Mears | Statement: [Kurt Barlow, enemyOf, Ben Mears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Mears
Context triple: [Kurt Barlow, enemyOf, Ben Mears]
  • A. Ben Mears chosen
    Ben Mears is a novelist and the protagonist of Stephen King’s horror novel "Salem’s Lot," who returns to his childhood town only to confront a spreading vampire infestation.
  • B. Nathan Dane
    Nathan Dane was an American lawyer and statesman best known for drafting the Northwest Ordinance of 1787, which shaped the early expansion and governance of the United States.
  • C. George Denbrough
    George Denbrough is a young boy from Stephen King's horror novel "It," whose tragic death at the hands of Pennywise the Clown drives much of the story's emotional and narrative conflict.
  • D. Victor Comstock
    Victor Comstock is a central character on the 1990s AMC television series "Remember WENN," serving as the idealistic station manager of the fictional Pittsburgh radio station WENN.
  • E. Elias Loomis
    Elias Loomis was a 19th-century American mathematician and physicist known for his work in astronomy, meteorology, and mathematical education.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded52f288190b40288d0acbe009b completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ea8f1688190aa36e29b52667d26 completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:31 p.m.