Triple

T13102811
Position Surface form Disambiguated ID Type / Status
Subject I Know My First Name Is Steven E310760 entity
Predicate cinematographyBy P1953 FINISHED
Object Tom Neuwirth E727765 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: Tom Neuwirth | Statement: [I Know My First Name Is Steven, cinematographyBy, Tom Neuwirth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Neuwirth
Context triple: [I Know My First Name Is Steven, cinematographyBy, Tom Neuwirth]
  • A. Tom Neuwirth chosen
    Tom Neuwirth is a film editor best known for his work on genre films such as the 1990 horror movie "Graveyard Shift."
  • B. Hugh L. Carey
    Hugh L. Carey was an American politician who served as the 51st Governor of New York from 1975 to 1982, known for helping rescue New York City from its 1970s fiscal crisis.
  • C. Andrew Weiner
    Andrew Weiner is a relatively obscure individual whose primary distinguishing feature is sharing the surname associated with more widely known public figures.
  • D. Brian Cassidy
    Brian Cassidy is a musician best known as a former member of the indie rock band Okkervil River.
  • E. Lee Guber
    Lee Guber was an American theatrical producer and entertainment entrepreneur known for developing and operating major live performance venues and productions in the mid-20th century.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98153255c8190b6ab64ac0c4716f8 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61d88888190bfc631b759f14598 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:04 p.m.