Triple

T11368192
Position Surface form Disambiguated ID Type / Status
Subject Paul Dooley E269267 entity
Predicate hasRole P161 FINISHED
Object Sarge in Cars 2 E718767 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: Sarge in Cars 2 | Statement: [Paul Dooley, hasRole, Sarge in Cars 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarge in Cars 2
Context triple: [Paul Dooley, hasRole, Sarge in Cars 2]
  • A. Cars 2
    Cars 2 is a 2011 animated spy-comedy film from Pixar and Disney that follows race car Lightning McQueen and tow truck Mater on an international adventure involving espionage and a global racing competition.
  • B. Sarge chosen
    Sarge is a no-nonsense, military Jeep character from the Cars franchise who runs a surplus store in Radiator Springs.
  • C. Sarge
    Sarge is a hardened military leader and central character in the 2005 science-fiction action film adaptation of the video game Doom, portrayed by Dwayne "The Rock" Johnson.
  • D. Lightning McQueen
    Lightning McQueen is a hotshot red race car and the ambitious, charismatic protagonist of Pixar's animated Cars film series.
  • E. Serge
    Serge is a masculine given name of French origin, commonly used in Francophone countries and derived from the Latin name Sergius.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556718fc481908543ed4bc5fe3d6e completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.