Triple

T13603278
Position Surface form Disambiguated ID Type / Status
Subject Film Stars Don’t Die in Liverpool E324995 entity
Predicate starring P1507 FINISHED
Object Stephen Graham E117148 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: Stephen Graham | Statement: [Film Stars Don’t Die in Liverpool, starring, Stephen Graham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Graham
Context triple: [Film Stars Don’t Die in Liverpool, starring, Stephen Graham]
  • A. Stephen Graham chosen
    Stephen Graham is an English character actor known for his intense, often gritty performances in films and television series such as "This Is England," "Boardwalk Empire," and "The Irishman."
  • B. Steven Hill
    Steven Hill was an American actor best known for his roles on the television series "Mission: Impossible" and "Law & Order."
  • C. Jeffrey Bell
    Jeffrey Bell is an American television writer and producer known for his work on genre series such as Angel, Alias, and Marvel's Agents of S.H.I.E.L.D.
  • D. Jeffrey Driver
    Jeffrey Driver is an Australian Anglican bishop who served as the Archbishop of Adelaide.
  • E. Richard Gant
    Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942c7f948190a62a8d2f69262ef3 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:49 p.m.