Triple

T12050318
Position Surface form Disambiguated ID Type / Status
Subject Hayward Gallery E286897 entity
Predicate namedAfter P63 FINISHED
Object Sir Isaac Hayward E545287 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: Sir Isaac Hayward | Statement: [Hayward Gallery, namedAfter, Sir Isaac Hayward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Isaac Hayward
Context triple: [Hayward Gallery, namedAfter, Sir Isaac Hayward]
  • A. Sir Isaac Hayward chosen
    Sir Isaac Hayward was a prominent British Labour politician who played a key role in mid-20th-century London governance, particularly through his long service in the London County Council.
  • B. Joseph Houlton
    Joseph Houlton was an early settler and prominent local figure after whom the town of Houlton, Maine, was named.
  • C. Leonard Jenyns
    Leonard Jenyns was a 19th-century English clergyman and naturalist known for his contributions to zoology and for declining the Beagle voyage later taken by Charles Darwin.
  • D. George Wiley
    George Wiley was an American chemist-turned-civil rights leader best known for his prominent role in the 1960s civil rights movement and anti-poverty activism.
  • E. George Buckley
    George Buckley is a British businessman best known for serving as the chairman and CEO of 3M.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.