Triple

T5203549
Position Surface form Disambiguated ID Type / Status
Subject Last Chance Harvey E117452 entity
Predicate writer P1360 FINISHED
Object Joel Hopkins E525127 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: Joel Hopkins | Statement: [Last Chance Harvey, writer, Joel Hopkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel Hopkins
Context triple: [Last Chance Harvey, writer, Joel Hopkins]
  • A. Joel Hopkins chosen
    Joel Hopkins is a British film director and screenwriter known for character-driven romantic comedies such as "Last Chance Harvey."
  • B. Fred Hopkins
    Fred Hopkins was an influential American jazz double bassist known for his innovative work in the avant-garde and free jazz scenes, particularly with the trio Air.
  • C. Joel Graham
    Joel Graham is a central character on the television series "Parenthood," portrayed as a devoted husband and father balancing family life with personal and professional challenges.
  • D. Joel Parker
    Joel Parker is a name shared by several notable individuals, including historical American politicians and jurists.
  • E. Jon Hoeber
    Jon Hoeber is an American screenwriter best known for co-writing action and thriller films such as "Red" and its sequel, as well as various big-budget genre movies.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a46393c81908da08f4fbfb6147d completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfba1e755081909649e0dd8c4d2270 completed March 22, 2026, 9:45 a.m.
Created at: March 20, 2026, 1:47 p.m.