Triple

T6993770
Position Surface form Disambiguated ID Type / Status
Subject Tom Luddy E162150 entity
Predicate name P16 FINISHED
Object Tom Luddy E162150 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: Tom Luddy | Statement: [Tom Luddy, name, Tom Luddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Luddy
Context triple: [Tom Luddy, name, Tom Luddy]
  • A. Tom Luddy chosen
    Tom Luddy was an American film producer, curator, and influential cinephile best known as a co-founder and long-time guiding force of the Telluride Film Festival.
  • B. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • C. Sherm Lollar
    Sherm Lollar was an American Major League Baseball catcher, best known for his long tenure with the Chicago White Sox, multiple All-Star selections, and strong defensive play in the 1950s.
  • D. Dick Lundy
    Dick Lundy was an American animator and director best known for his influential work at Walt Disney Studios, where he helped shape the personality and style of classic characters like Donald Duck.
  • E. Pat Haggerty
    Pat Haggerty was a prominent NFL official best known for serving as the referee in multiple Super Bowls during his long officiating career.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeaa88c8190a49f8504c1793e1f completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7aa218081908cba76a4fdaa9f10 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 2:32 p.m.