Triple

T2383022
Position Surface form Disambiguated ID Type / Status
Subject Trevor E46353 entity
Predicate hasFictionalBearer P7927 FINISHED
Object Trevor Philips E267351 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: Trevor Philips | Statement: [Trevor, hasFictionalBearer, Trevor Philips]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trevor Philips
Context triple: [Trevor, hasFictionalBearer, Trevor Philips]
  • A. Trevor Phillips chosen
    Trevor Phillips is a volatile and unpredictable career criminal who serves as one of the three main protagonists in the video game Grand Theft Auto V.
  • B. Trevor Morris
    Trevor Morris is a Canadian composer best known for his work on film, television, and video game scores, including series like "The Tudors" and "Vikings."
  • C. Trevor McDonald
    Trevor McDonald is a renowned British newsreader and journalist, best known as one of the most prominent and pioneering Black broadcasters on UK television.
  • D. Trevor Johnston
    Trevor Johnston is an Australian linguist renowned for his pioneering research and documentation of Auslan, the sign language of the Australian Deaf community.
  • E. Nathan Phillips
    Nathan Phillips was a prominent Canadian politician who served as the reform-minded mayor of Toronto in the 1950s and early 1960s.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc7bafa248190a68e8f1e081f4817 completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cce716c8190b87b117b270b9a84 completed March 9, 2026, 11:50 p.m.
Created at: March 4, 2026, 7:57 p.m.