Triple

T13048370
Position Surface form Disambiguated ID Type / Status
Subject John Simm E327383 entity
Predicate portrayed P1668 FINISHED
Object Sam Tyler E327673 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: Sam Tyler | Statement: [John Simm, portrayed, Sam Tyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Tyler
Context triple: [John Simm, portrayed, Sam Tyler]
  • A. Sam Tyler chosen
    Sam Tyler is the time-displaced Manchester detective protagonist of the British television series "Life on Mars."
  • B. Jack Pearson
    Jack Pearson is an American guitarist and songwriter best known for his work in Southern rock and blues, including a notable late-1990s stint with The Allman Brothers Band.
  • C. Jack Pearson
    Jack Pearson is a central character in the television drama "This Is Us," known as the devoted patriarch of the Pearson family whose life and legacy deeply shape the series' emotional narrative.
  • D. Neil McCauley
    Neil McCauley is the meticulous, professional career thief portrayed by Robert De Niro in Michael Mann’s crime film "Heat."
  • E. Quincy McCall
    Quincy McCall is a talented, ambitious basketball player whose evolving relationship with fellow athlete Monica Wright drives the romantic and competitive narrative of the film "Love & Basketball."
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd8f1308190992c0bd832e1b05e completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:57 p.m.