Triple

T4577423
Position Surface form Disambiguated ID Type / Status
Subject The Sugarland Express E123171 entity
Predicate starring P1507 FINISHED
Object William Atherton E426286 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: William Atherton | Statement: [The Sugarland Express, starring, William Atherton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Atherton
Context triple: [The Sugarland Express, starring, William Atherton]
  • A. William Atherton chosen
    William Atherton is an American character actor best known for playing arrogant and antagonistic authority figures in films such as Ghostbusters and Die Hard.
  • B. John Ashton
    John Ashton is an American character actor best known for his tough, often blue-collar roles in crime and action films such as "Beverly Hills Cop" and "Midnight Run."
  • C. John Brierley
    John Brierley is the real-life Australian man whose childhood journey from India to adoption and later search for his birth family inspired the book and film "Lion."
  • D. Philip Pugh
    Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
  • E. Joseph Durkan
    Joseph Durkan is a notable individual who shares the Durkan surname, recognized enough to be specifically identified among its bearers.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58e153908190ac8f578e03aecdfc completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3988c1d88190923941821e460119 completed March 21, 2026, 6:24 a.m.
Created at: March 20, 2026, 1:10 p.m.