Triple

T5043239
Position Surface form Disambiguated ID Type / Status
Subject Kansas Pacific E113596 entity
Predicate director P255 FINISHED
Object Ray Nazarro E490156 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: Ray Nazarro | Statement: [Kansas Pacific, director, Ray Nazarro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Nazarro
Context triple: [Kansas Pacific, director, Ray Nazarro]
  • A. Ray Nazarro chosen
    Ray Nazarro was an American film director best known for his prolific work on low-budget Westerns and action films during the 1940s and 1950s.
  • B. Andrew Sarlo
    Andrew Sarlo is a music producer known for his work with indie and alternative artists such as Big Thief and Bon Iver.
  • C. Andrew Miano
    Andrew Miano is an American film producer known for his work on independent and critically acclaimed movies, often collaborating with director Tom Ford and others.
  • D. Alec Mazo
    Alec Mazo is a professional ballroom dancer and choreographer best known for his appearances and championship win on the U.S. television show Dancing with the Stars.
  • E. Anthony Ashnault
    Anthony Ashnault is an American wrestler best known as a multiple-time All-American and NCAA champion for Rutgers University.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fc04f08190aba851fa0192d0fb completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf069d371c81909d87432f6bd2d506 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:37 p.m.