Triple

T9735443
Position Surface form Disambiguated ID Type / Status
Subject The Cove E236045 entity
Predicate screenwriter P2831 FINISHED
Object Mark Monroe E813835 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: Mark Monroe | Statement: [The Cove, screenwriter, Mark Monroe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Monroe
Context triple: [The Cove, screenwriter, Mark Monroe]
  • A. Mark Monroe chosen
    Mark Monroe is a prominent documentary filmmaker and writer known for producing and scripting acclaimed music and culture-focused films.
  • B. Cooke Maroney
    Cooke Maroney is an American art gallery director known for his work in the contemporary art world and his marriage to actress Jennifer Lawrence.
  • C. Maye
    Maye is the first name of Maye Musk, a Canadian-South African model and dietitian known for her long-running fashion career and as the mother of entrepreneur Elon Musk.
  • D. Lamorne Morris
    Lamorne Morris is an American actor and comedian best known for playing Winston Bishop on the television sitcom "New Girl."
  • E. Jerry Stackhouse
    Jerry Stackhouse is a former NBA All-Star shooting guard and current basketball coach known for his prolific scoring and long professional career.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eee70d48190af5a833d7b33aaa5 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afce9834819090949690b4ca8622 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:22 p.m.