Triple

T15296700
Position Surface form Disambiguated ID Type / Status
Subject Marley & Me E365678 entity
Predicate starring P1507 FINISHED
Object Alan Arkin E97723 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: Alan Arkin | Statement: [Marley & Me, starring, Alan Arkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan Arkin
Context triple: [Marley & Me, starring, Alan Arkin]
  • A. Alan Arkin chosen
    Alan Arkin was an American actor, director, and writer renowned for his versatile performances in film, television, and theater over a career spanning more than six decades.
  • B. Adam Arkin
    Adam Arkin is an American actor and director known for his work in television series such as "Chicago Hope" and "Northern Exposure," as well as numerous film and stage roles.
  • C. Yitzhak Edward Asner
    Yitzhak Edward Asner, better known as Ed Asner, was an American actor and activist renowned for his role as Lou Grant on both "The Mary Tyler Moore Show" and its dramatic spin-off "Lou Grant."
  • D. Stanley Hoffman
    Stanley Hoffman is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Hoffman.
  • E. Judd Hirsch
    Judd Hirsch is an American actor best known for his Emmy-winning role on the sitcom "Taxi" and his work in film, television, and theater over several decades.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e036848c1881908fbaaae0216d6d27 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e2a03c81909ab24d4ed2b54698 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:15 a.m.