Triple

T18334523
Position Surface form Disambiguated ID Type / Status
Subject John Kimble E439234 entity
Predicate filmScreenwriter P15305 FINISHED
Object Timothy Harris 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: Timothy Harris | Statement: [John Kimble, filmScreenwriter, Timothy Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy Harris
Context triple: [John Kimble, filmScreenwriter, Timothy Harris]
  • A. Timothy Harris chosen
    Timothy Harris is an American screenwriter and producer known for co-writing popular comedies such as "Brewster's Millions," "Trading Places," and "Twins."
  • B. William Harris
    William Harris was a historical English church musician who served in the prestigious role of Master of the Children, overseeing and training choristers.
  • C. Benjamin Hammond Haggerty
    Benjamin Hammond Haggerty is an American rapper and songwriter best known by his stage name Macklemore, recognized for hits like "Thrift Shop" and "Can't Hold Us."
  • D. Josef A. Harris
    Josef A. Harris is known primarily as the husband of historian and author Mary Nash.
  • E. James B. Harris
    James B. Harris is an American film producer and director best known for his collaborations with Stanley Kubrick on several influential mid-20th-century films.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecc91148190aa820fcd466009ce completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.