Triple

T8431613
Position Surface form Disambiguated ID Type / Status
Subject Silo E199126 entity
Predicate executiveProducer P7225 FINISHED
Object Hugh Howey E732740 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: Hugh Howey | Statement: [Silo, executiveProducer, Hugh Howey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Howey
Context triple: [Silo, executiveProducer, Hugh Howey]
  • A. Hugh Howey chosen
    Hugh Howey is an American author best known for his self-published dystopian science fiction series "Wool," which became a bestseller and was later adapted for television as "Silo."
  • B. Sarah Shephard
    Sarah Shephard is a fictional character from the television series "Lost," known as Jack Shephard’s ex-wife.
  • C. Kristen Kish
    Kristen Kish is a Korean-American chef, television host, and restaurateur best known for winning Top Chef and later serving as the show's host and judge.
  • D. Lauren Oliver
    Lauren Oliver is an American author best known for her young adult novels, including the dystopian "Delirium" series and the contemporary bestseller "Before I Fall."
  • E. Gail Carriger
    Gail Carriger is a bestselling American author known for her humorous steampunk and paranormal romance novels, particularly the Parasol Protectorate series.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a4876c81908d5a708bb1f35683 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d5a671c8190aebbe94e8838cddb completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:07 p.m.