Triple

T14702442
Position Surface form Disambiguated ID Type / Status
Subject Bronson Pinchot E345338 entity
Predicate notableWork P4 FINISHED
Object Second Sight E1074278 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: Second Sight | Statement: [Bronson Pinchot, notableWork, Second Sight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Second Sight
Context triple: [Bronson Pinchot, notableWork, Second Sight]
  • A. Second Sight chosen
    Second Sight is a 1989 comedy film about a psychic detective agency, starring John Larroquette and Bronson Pinchot.
  • B. Mindbridge
    Mindbridge is a science fiction novel by Joe Haldeman that explores themes of telepathy, alien contact, and the psychological impact of advanced technology on humanity.
  • C. Clearpoint
    Clearpoint is a popular line of Paper Mate mechanical pencils known for their side-click advance mechanism and comfortable, ergonomic design.
  • D. Setonix
    Setonix is a genus of small marsupials best known for including the quokka, a short-tailed wallaby native to southwestern Australia.
  • E. Innosight
    Innosight is a strategy and innovation consulting firm co-founded by disruptive innovation theorist Clayton Christensen, known for helping organizations navigate transformational growth and change.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb6071e5c8190bb5509c859135c2d completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0861c308190af0b5da403ecb321 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.