Triple

T10649048
Position Surface form Disambiguated ID Type / Status
Subject Vanishing Point (1971 film) E250912 entity
Predicate starring P1507 FINISHED
Object Paul Koslo E730362 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: Paul Koslo | Statement: [Vanishing Point (1971 film), starring, Paul Koslo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Koslo
Context triple: [Vanishing Point (1971 film), starring, Paul Koslo]
  • A. Paul Koslo chosen
    Paul Koslo was a German-Canadian character actor known for his supporting roles in 1970s and 1980s action and science fiction films.
  • B. Mike Sokolsky
    Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
  • C. Eric Pleskow
    Eric Pleskow was an Austrian-born American film executive and producer best known for leading major studios and co-founding the influential independent film company Orion Pictures.
  • D. Michael Kozoll
    Michael Kozoll is an American television writer and producer best known for co-creating the influential police drama series "Hill Street Blues."
  • E. Michael Kuzak
    Michael Kuzak is a central attorney character on the television legal drama "L.A. Law," known for his idealism and high-profile courtroom battles.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe3ea08819094a945ebb7fc4d3a completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e23b1c5e4c81909628c77b80805353 completed April 17, 2026, 1:52 p.m.
Created at: April 8, 2026, 9:06 p.m.