Triple

T7714515
Position Surface form Disambiguated ID Type / Status
Subject Kung Fu Panda 2 E174847 entity
Predicate storyBy P1955 FINISHED
Object Darren Lemke E525942 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: Darren Lemke | Statement: [Kung Fu Panda 2, storyBy, Darren Lemke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darren Lemke
Context triple: [Kung Fu Panda 2, storyBy, Darren Lemke]
  • A. Darren Lemke chosen
    Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
  • B. Greg DePaul
    Greg DePaul is an American screenwriter and playwright best known for co-writing the romantic comedy film "Bride Wars."
  • C. Darren Robinson
    Darren Robinson is a writer known for his work on the project or publication titled "Uproar."
  • D. Brian Bockrath
    Brian Bockrath is a television producer best known for his executive production work on the post-apocalyptic horror drama series The Walking Dead: Dead City.
  • E. Marcus T. Paulk
    Marcus T. Paulk is an American actor and rapper best known for his role as Myles Mitchell on the television sitcom "Moesha."
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca73246e9c819099fe003f1274523e completed March 30, 2026, 12:57 p.m.
Created at: March 27, 2026, 4:04 p.m.