Triple

T16697850
Position Surface form Disambiguated ID Type / Status
Subject High Wall E405762 entity
Predicate starring P1507 FINISHED
Object Robert Taylor E226052 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: Robert Taylor | Statement: [High Wall, starring, Robert Taylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Taylor
Context triple: [High Wall, starring, Robert Taylor]
  • A. Robert Taylor
    Robert Taylor was an American civic leader and housing advocate in Chicago, best known for his work on public housing and for whom the Robert Taylor Homes were named.
  • B. Robert Taylor
    Robert Taylor is a musician best known as a member of the rock band Dragon.
  • C. Robert Taylor chosen
    Robert Taylor was a prominent American film and television actor of Hollywood’s Golden Age, known for his leading-man roles in classics such as "Camille," "Waterloo Bridge," and "Quo Vadis."
  • D. Robert Taylor
    Robert Taylor was the husband of legendary Chicago blues singer Koko Taylor, known primarily in relation to her life and career.
  • E. Robert Taylor
    Robert Taylor was an influential American computer scientist and research manager who played a key role in the development of ARPANET and the foundations of the modern internet.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832e93c48190a594c498e9cc901a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919ee61c81909928dd26270e9614 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.