Triple

T13997164
Position Surface form Disambiguated ID Type / Status
Subject John Keating E336728 entity
Predicate influences P9 FINISHED
Object Steven Meeks E1122833 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: Steven Meeks | Statement: [John Keating, influences, Steven Meeks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Meeks
Context triple: [John Keating, influences, Steven Meeks]
  • A. Steven Meeks chosen
    Steven Meeks is a fictional student character from the film "Dead Poets Society," known for being a bright, enthusiastic member of the secret poetry club at Welton Academy.
  • B. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • C. Christopher De Vore
    Christopher De Vore is an American screenwriter best known for co-writing the acclaimed 1980 film "The Elephant Man."
  • D. David Stavens
    David Stavens is an entrepreneur and computer scientist best known as a co-founder of the online education platform Udacity.
  • E. John Kiffmeyer
    John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bbd051c8190a89f9801a7b08b2d completed May 9, 2026, 1:19 a.m.
Created at: April 9, 2026, 10:19 p.m.