Triple

T17069982
Position Surface form Disambiguated ID Type / Status
Subject Silicon Valley (TV series) E414189 entity
Predicate character P662 FINISHED
Object Gavin Belson E1187033 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: Gavin Belson | Statement: [Silicon Valley (TV series), character, Gavin Belson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavin Belson
Context triple: [Silicon Valley (TV series), character, Gavin Belson]
  • A. Gavin Belson chosen
    Gavin Belson is the fictional, ruthlessly ambitious tech CEO and primary antagonist from the television series "Silicon Valley."
  • B. Michael Tomasky
    Michael Tomasky is an American journalist, author, and political commentator known for his liberal analysis and leadership roles at prominent opinion magazines.
  • C. Brian Resnick
    Brian Resnick is a journalist known for his science and health reporting, particularly his explanatory work at outlets like Vox.
  • D. Bennett Rosenthal
    Bennett Rosenthal is an American businessman and private equity executive best known as a co-owner of the Major League Soccer club Los Angeles FC.
  • E. David Barstow
    David Barstow is a Pulitzer Prize–winning American investigative journalist known for his in-depth reporting for The New York Times on corporate malfeasance, political influence, and major national crises.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbfb1f08190807301ff6e573cf5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01235278d48190bacc7881b9eb1ea1 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.