Triple

T18738121
Position Surface form Disambiguated ID Type / Status
Subject Joshua Malina E458217 entity
Predicate portrayed P1668 FINISHED
Object Jeremy Goodwin 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: Jeremy Goodwin | Statement: [Joshua Malina, portrayed, Jeremy Goodwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Goodwin
Context triple: [Joshua Malina, portrayed, Jeremy Goodwin]
  • A. Jeremy Goodwin chosen
    Jeremy Goodwin is a brilliant but socially awkward sports statistician and associate producer on the television series "Sports Night."
  • B. Bill Goodwin
    Bill Goodwin was an American radio and television announcer and actor best known for his work on comedy programs in the 1940s and 1950s.
  • C. Mark Goodacre
    Mark Goodacre is a New Testament scholar known for his influential work on the Synoptic Problem and advocacy of the Farrer hypothesis, particularly through his research on the relationships among the Gospels.
  • D. Daniel L. Goodwin
    Daniel L. Goodwin is an American real estate entrepreneur and philanthropist best known for building Inland Real Estate Group into one of the nation’s largest commercial real estate and finance organizations.
  • E. Graham C. Goodwin
    Graham C. Goodwin is a prominent control systems engineer and academic known for his influential contributions to control theory, system identification, and industrial applications.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768b80ac8190bc05628d64f86fc9 completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.