Triple

T14469550
Position Surface form Disambiguated ID Type / Status
Subject Andrew Marton E358800 entity
Predicate name P16 FINISHED
Object Andrew Marton E358800 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: Andrew Marton | Statement: [Andrew Marton, name, Andrew Marton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Marton
Context triple: [Andrew Marton, name, Andrew Marton]
  • A. Andrew Marton chosen
    Andrew Marton was a Hungarian-American film director and editor best known for his work on large-scale action and war films in Hollywood and Europe.
  • B. Arthur Margetson
    Arthur Margetson was a British film and stage actor active in the early 20th century, known for his supporting roles in crime and mystery dramas.
  • C. John Bluthal
    John Bluthal was a Polish-born British actor best known for his comic roles in British television and film, including his memorable performance in the sitcom "The Vicar of Dibley."
  • D. George Vecsey
    George Vecsey is an American sportswriter and author known for his long career with The New York Times and for co-writing the bestselling biography "Coal Miner’s Daughter" about country singer Loretta Lynn.
  • E. Victor Maddern
    Victor Maddern was a British character actor known for his prolific film and television work from the 1950s onward, often portraying tough or military types in comedies and dramas.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f969788190a5114f92d7159aae completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf070e23481908528274ce5e10731 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:20 a.m.