Triple

T9166478
Position Surface form Disambiguated ID Type / Status
Subject Marcia Gay Harden E219972 entity
Predicate academyAwardFor P10689 FINISHED
Object Pollock E341530 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: Pollock | Statement: [Marcia Gay Harden, academyAwardFor, Pollock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pollock
Context triple: [Marcia Gay Harden, academyAwardFor, Pollock]
  • A. Pollock chosen
    Pollock is a surname of Scottish origin borne by various notable individuals across fields such as art, politics, and academia.
  • B. Pollack
    Pollack is a surname most notably associated with American film director, producer, and actor Sydney Pollack.
  • C. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • D. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • E. Fisher
    Fisher is a common English surname borne by numerous notable individuals across fields such as economics, politics, entertainment, and sports.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaade47cc81909b5c127dc8aa1340 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c077f008190ba1bcd82b3fe9a1d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:22 p.m.