Triple

T4337773
Position Surface form Disambiguated ID Type / Status
Subject Over and Over E97504 entity
Predicate writer P1360 FINISHED
Object Jayson Bridges E424057 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: Jayson Bridges | Statement: [Over and Over, writer, Jayson Bridges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jayson Bridges
Context triple: [Over and Over, writer, Jayson Bridges]
  • A. Mikal Bridges
    Mikal Bridges is an American professional basketball player known for his elite two-way play on the wing in the NBA after a standout collegiate career at Villanova.
  • B. Hal Bynum
    Hal Bynum was an American country music songwriter best known for penning narrative-driven hits for artists like Kenny Rogers and Johnny Cash.
  • C. Jayson "Koko" Bridges chosen
    Jayson "Koko" Bridges is a music producer known for his work on the track "Sweat."
  • D. Tavon Garris
    Tavon Garris is a character in the crime drama television series "The Shield," involved in the gritty, morally complex world surrounding the show's central police unit.
  • E. Jamir Jones
    Jamir Jones is an American football linebacker who has played in the NFL, including for the Pittsburgh Steelers.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3516c621881909f094d040d4805e9 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0ace26881908cfc7950dc7a6cf8 completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:14 p.m.