Triple

T9166447
Position Surface form Disambiguated ID Type / Status
Subject Marcia Gay Harden E219972 entity
Predicate familyName P18 FINISHED
Object Harden E69894 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: Harden | Statement: [Marcia Gay Harden, familyName, Harden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harden
Context triple: [Marcia Gay Harden, familyName, Harden]
  • A. Harden chosen
    Harden is a small rural town in the Riverina region of New South Wales, Australia, known historically as a railway and agricultural service centre.
  • B. Wilt
    Wilt is a surname most notably associated with Peter Wilt, an American soccer executive known for helping launch and lead several professional soccer clubs in the United States.
  • C. Wilt
    Wilt is a tall, red, one-armed imaginary friend from the animated series "Foster's Home for Imaginary Friends," known for his extreme politeness, kindness, and apologetic nature.
  • D. Randle
    Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
  • E. Reddick
    Reddick is a surname most notably associated with American actor Lance Reddick, known for his roles in television series like "The Wire" and the "John Wick" film franchise.
  • 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_69d0548b0e6c819090ece33b9ede9fa6 completed April 4, 2026, midnight
Created at: March 30, 2026, 7:22 p.m.