Triple

T9376679
Position Surface form Disambiguated ID Type / Status
Subject The Smile E225661 entity
Predicate formedBy P972 FINISHED
Object Tom Skinner E794307 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 Skinner | Statement: [The Smile, formedBy, Tom Skinner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Skinner
Context triple: [The Smile, formedBy, Tom Skinner]
  • A. Tom Skinner chosen
    Tom Skinner is an English drummer best known for his work in jazz and experimental rock, including as a member of the band The Smile alongside Thom Yorke and Jonny Greenwood.
  • B. Todd Skinner
    Todd Skinner was an influential American rock climber and pioneering free climber known for pushing standards on big-wall routes worldwide.
  • C. Jeff Skinner
    Jeff Skinner is a Canadian professional ice hockey winger known for his goal-scoring ability in the NHL, primarily with the Carolina Hurricanes and Buffalo Sabres.
  • D. Roy Skeggs
    Roy Skeggs was a British film and television producer best known for revitalizing Hammer Film Productions in the 1970s and 1980s and steering the company into television and lower-budget horror projects.
  • E. James Sikking
    James Sikking is an American actor best known for his role as the strict and disciplined Lt. Howard Hunter on the acclaimed television series "Hill Street Blues."
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50ab658c8190b23b2a97d15bb3f1 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100d976d481909502901cec1fc83f completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:44 p.m.