Triple

T23178732
Position Surface form Disambiguated ID Type / Status
Subject Marvin Hartley E579088 entity
Predicate name P16 FINISHED
Object Marvin Hartley NE NERFINISHED

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: Marvin Hartley | Statement: [Marvin Hartley, name, Marvin Hartley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marvin Hartley
Context triple: [Marvin Hartley, name, Marvin Hartley]
  • A. Marvin Hartley chosen
    Marvin Hartley is an individual notable enough to be specifically cited as a bearer of the Hartley surname.
  • B. Marvin Ainley
    Marvin Ainley is an individual notable enough to be recognized as a prominent bearer of the Ainley surname.
  • C. Marvin Humes
    Marvin Humes is a British singer, DJ, and television presenter best known as a member of the boy band JLS and as a host on shows such as The Voice UK and various BBC radio programs.
  • D. Melvin Hicks
    Melvin Hicks is the employee whose discrimination claim led to the landmark U.S. Supreme Court case St. Mary’s Honor Center v. Hicks, which clarified the burden-shifting framework in employment discrimination law.
  • E. Jack Hively
    Jack Hively was an American film editor and director active in Hollywood during the mid-20th century, known for his work on numerous RKO Pictures productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6cbe5481909444479b7eac47f7 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.