Triple

T5417523
Position Surface form Disambiguated ID Type / Status
Subject Carry On Loving E121167 entity
Predicate director P255 FINISHED
Object Gerald Thomas E518309 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: Gerald Thomas | Statement: [Carry On Loving, director, Gerald Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerald Thomas
Context triple: [Carry On Loving, director, Gerald Thomas]
  • A. Gerald Thomas chosen
    Gerald Thomas was a British film director best known for helming the long-running and hugely popular "Carry On" comedy film series.
  • B. Gerald Austin
    Gerald Austin is a former National Football League official best known for serving as the referee in multiple Super Bowls, including Super Bowl XXXV.
  • C. Gerry Fisher
    Gerry Fisher was a British cinematographer known for his atmospheric visual style on numerous films from the 1960s through the 1990s.
  • D. Gordon Oliver
    Gordon Oliver was an American film actor and producer active in the mid-20th century, known for supporting roles in Hollywood features and later work behind the camera in television.
  • E. Gerard Alexander
    Gerard Alexander is an American political scientist known for his work on democratic institutions, conservative politics, and the dynamics of political polarization.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87e620f081909eb9a5e1f284e5a2 completed March 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4121edc4819081fdb79dcc182540 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:05 p.m.