Triple

T10468421
Position Surface form Disambiguated ID Type / Status
Subject Mr. Wonderful E246862 entity
Predicate starring P1507 FINISHED
Object Matt Dillon E163592 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: Matt Dillon | Statement: [Mr. Wonderful, starring, Matt Dillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Dillon
Context triple: [Mr. Wonderful, starring, Matt Dillon]
  • A. Matt Dillon chosen
    Matt Dillon is an American actor known for his versatile performances in films ranging from 1980s teen dramas like "The Outsiders" to acclaimed roles in movies such as "Drugstore Cowboy" and "Crash."
  • B. Matt Dillon
    Matt Dillon is the fictional U.S. Marshal who serves as the central lawman and protagonist of the long-running Western series "Gunsmoke."
  • C. Michael Walsh
    Michael Walsh is a common personal name shared by numerous individuals across various fields such as politics, sports, literature, and entertainment.
  • D. John Reilly
    John Reilly is a musician known for being a member of the Irish-American Celtic rock band O'Malley's March.
  • E. John Duggan
    John Duggan is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the Duggan surname.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092ef810819093a4d1df83aeac09 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.