Triple

T8153852
Position Surface form Disambiguated ID Type / Status
Subject Wet Wet Wet E190394 entity
Predicate hasFormerMember P1168 FINISHED
Object Tommy Cunningham E717257 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: Tommy Cunningham | Statement: [Wet Wet Wet, hasFormerMember, Tommy Cunningham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Cunningham
Context triple: [Wet Wet Wet, hasFormerMember, Tommy Cunningham]
  • A. Tommy Cunningham chosen
    Tommy Cunningham is a Scottish drummer best known as a founding member of the pop rock band Wet Wet Wet.
  • B. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • C. Lennie Briscoe
    Lennie Briscoe is a seasoned, wisecracking NYPD homicide detective on the television series "Law & Order," known for his dry humor and dogged investigative style.
  • D. Tinoc Kallahan
    Tinoc Kallahan is an alternative name for the Kalanguya language, an Austronesian language spoken by the Kalanguya people in the northern Philippines.
  • E. Gordo Stevens
    Gordo Stevens is a fictional NASA astronaut and central character in the alternate-history television series "For All Mankind," known for his role in the early U.S. lunar program and his complex personal struggles.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced3839b4819081a811fcebc51ff7 completed April 1, 2026, 10:02 a.m.
Created at: March 30, 2026, 5:37 p.m.