Triple

T17716213
Position Surface form Disambiguated ID Type / Status
Subject Alan Arkin E442205 entity
Predicate child P120 FINISHED
Object Matthew Arkin 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: Matthew Arkin | Statement: [Alan Arkin, child, Matthew Arkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Arkin
Context triple: [Alan Arkin, child, Matthew Arkin]
  • A. Matthew Arkin chosen
    Matthew Arkin is an American actor and acting teacher, known for his work in film, television, and theater and as part of the Arkin family of performers.
  • B. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • C. Andrew DeRoberts
    Andrew DeRoberts is a music producer and songwriter known for his work in contemporary country music.
  • D. Matthew Borish
    Matthew Borish is an actor known for his role in the film "Hack."
  • E. Andrew Hines
    Andrew Hines is a music video director known for his creative visual work in the contemporary music industry.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47480955481908fa0d3d34aaedd48 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.