Triple

T16635521
Position Surface form Disambiguated ID Type / Status
Subject Walter Chang E404187 entity
Predicate createdBy P806 FINISHED
Object Brent Maddock NE ONNED1

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: Brent Maddock | Statement: [Walter Chang, createdBy, Brent Maddock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brent Maddock
Context triple: [Walter Chang, createdBy, Brent Maddock]
  • A. Brent Maddock chosen
    Brent Maddock is an American screenwriter best known for co-writing popular science fiction and horror-comedy films such as "Short Circuit" and the "Tremors" series.
  • B. Brent Judd
    Brent Judd is a film and television producer best known for his work on the comedy series "Trainwreck."
  • C. Dale Hunter
    Dale Hunter is a former Canadian NHL center known for his gritty, physical play and leadership, most notably with the Washington Capitals.
  • D. Shawn Eckhardt
    Shawn Eckhardt was a key figure in the 1994 figure skating scandal involving the attack on Nancy Kerrigan, portrayed as a central character in the film "I, Tonya."
  • E. Ron Dermer
    Ron Dermer is an Israeli diplomat and politician who served as Israel’s ambassador to the United States and is known as a close adviser to Prime Minister Benjamin Netanyahu.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e999d48190bff680040dbc883d completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01953eaa6c819091f7d63a1e3e7070 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:17 a.m.