Triple

T19771712
Position Surface form Disambiguated ID Type / Status
Subject Red State E474903 entity
Predicate stars P1956 FINISHED
Object Michael Parks 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: Michael Parks | Statement: [Red State, stars, Michael Parks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Parks
Context triple: [Red State, stars, Michael Parks]
  • A. Michael Parks chosen
    Michael Parks was an American character actor known for his intense, versatile performances in film and television, including frequent collaborations with directors like Quentin Tarantino and Kevin Smith.
  • B. Michael Parkhurst
    Michael Parkhurst is an American former professional soccer defender best known for his standout MLS career and leadership roles with clubs like New England Revolution, Columbus Crew SC, and Atlanta United FC, as well as appearances for the U.S. national team.
  • C. Michael Pitts
    Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
  • D. Michael Parker
    Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
  • E. Michael Parker
    Michael Parker is a professional basketball player best known for his standout career in Japan’s B.League, where he became one of the league’s most prolific scorers and an influential import for teams such as the Chiba Jets Funabashi.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6535ce4d08190a1dfca2df95a8631 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:48 p.m.