Triple

T6292578
Position Surface form Disambiguated ID Type / Status
Subject Two-Lane Blacktop E141053 entity
Predicate producer P490 FINISHED
Object Michael Laughlin E347755 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: Michael Laughlin | Statement: [Two-Lane Blacktop, producer, Michael Laughlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Laughlin
Context triple: [Two-Lane Blacktop, producer, Michael Laughlin]
  • A. Michael Laughlin chosen
    Michael Laughlin was an American film producer, screenwriter, and director known for his work on cult and independent films in the 1970s and 1980s.
  • B. Michael S. Timlin
    Michael S. Timlin is a climatologist known for his role in developing the Multivariate ENSO Index used to monitor and analyze El Niño–Southern Oscillation variability.
  • C. Craig A. Stough
    Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
  • D. Michael J. Duthie
    Michael J. Duthie is a publishing professional best known for serving as an editor of the periodical The Outpost.
  • E. Michael R. Quinlan
    Michael R. Quinlan is an American business executive and Loyola University Chicago alumnus best known for serving as CEO and chairman of McDonald’s Corporation.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0642017588190b6c99c685653f6c2 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8108dda308190bb3b7209efe132bb completed March 28, 2026, 5:31 p.m.
Created at: March 22, 2026, 4:27 p.m.