Triple

T3600141
Position Surface form Disambiguated ID Type / Status
Subject Doug Pederson E76234 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Miami Dolphins E8898 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: Miami Dolphins | Statement: [Doug Pederson, memberOfSportsTeam, Miami Dolphins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miami Dolphins
Context triple: [Doug Pederson, memberOfSportsTeam, Miami Dolphins]
  • A. Miami Dolphins chosen
    The Miami Dolphins are a professional American football team based in the Miami metropolitan area that competes in the NFL as a member of the AFC East division.
  • B. Tampa Bay Buccaneers
    The Tampa Bay Buccaneers are a professional American football team based in the Tampa Bay area that competes in the NFL and has won multiple Super Bowl championships.
  • C. Jacksonville Jaguars
    The Jacksonville Jaguars are a professional American football team based in Jacksonville that competes in the National Football League (NFL) as a member of the AFC South division.
  • D. Bucs
    Bucs is a common nickname for the Major League Baseball team the Pittsburgh Pirates.
  • E. Toronto Falcons
    The Toronto Falcons were a professional soccer team based in Toronto that competed in North American leagues during the late 1960s.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19fd57481908ce5c9daf168e213 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43305b21081909d7f78dac96ceaa8 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:22 p.m.