Triple

T17544463
Position Surface form Disambiguated ID Type / Status
Subject Rodger Dodger E427289 entity
Predicate starring P1507 FINISHED
Object Campbell Scott NE NERFINISHED

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: Campbell Scott | Statement: [Rodger Dodger, starring, Campbell Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campbell Scott
Context triple: [Rodger Dodger, starring, Campbell Scott]
  • A. Campbell Scott chosen
    Campbell Scott is an American actor and director known for roles in films like "Singles" and "The Spanish Prisoner" and for his work in both independent cinema and mainstream television.
  • B. Jeremy Grey
    Jeremy Grey is a charismatic, fast-talking divorce mediator and womanizer portrayed by Vince Vaughn in the comedy film "Wedding Crashers."
  • C. James Keach
    James Keach is an American actor, director, and producer known for his work in films such as "Walk the Line" and for his long career in both film and television.
  • D. Ian George
    Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
  • E. James Gardner
    James Gardner is a relatively common personal name shared by multiple notable individuals across fields such as politics, the arts, and academia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454609bdc8190b81b362906e7e3fd completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.