Triple

T14587360
Position Surface form Disambiguated ID Type / Status
Subject Hart–Scott–Rodino Antitrust Improvements Act E342350 entity
Predicate namedAfter P63 FINISHED
Object Hugh Scott E331943 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: Hugh Scott | Statement: [Hart–Scott–Rodino Antitrust Improvements Act, namedAfter, Hugh Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Scott
Context triple: [Hart–Scott–Rodino Antitrust Improvements Act, namedAfter, Hugh Scott]
  • A. Hugh Scott chosen
    Hugh Scott was a prominent Republican U.S. senator from Pennsylvania who served as Senate Minority Leader during the early 1970s, notably playing a key role in the political resolution of the Watergate scandal.
  • B. Tom Hughes
    Tom Hughes was an early 20th-century Major League Baseball pitcher best known for his standout season with the Boston Americans in 1903.
  • C. Tom Hughes
    Tom Hughes is a British actor known for his roles in film and television, including period dramas and contemporary comedies.
  • D. Bob Scott
    Bob Scott was an Australian rules football field umpire best known for officiating the 1934 Victorian Football League Grand Final.
  • E. Patrick Murray
    Patrick Murray is the central protagonist of the story "Looking," around whom the main narrative and character development revolve.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c1768881909eebb0dae15ac964 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.