Triple

T23241515
Position Surface form Disambiguated ID Type / Status
Subject Loud Pipes E581459 entity
Predicate writer P1360 FINISHED
Object Tab Virgil Jr. NE NERFINISHED

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: Tab Virgil Jr. | Statement: [Loud Pipes, writer, Tab Virgil Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tab Virgil Jr.
Context triple: [Loud Pipes, writer, Tab Virgil Jr.]
  • A. Tab Virgil Jr. chosen
    Tab Virgil Jr., better known by his stage name Turk, is an American rapper recognized as a member of the New Orleans hip hop group the Hot Boys.
  • B. Virgil Starkwell
    Virgil Starkwell is the bumbling, neurotic would-be criminal portrayed by Woody Allen in the mockumentary-style comedy film "Take the Money and Run."
  • C. Virgil McCracken
    Virgil McCracken was an early American figure after whom McCracken County in Kentucky was named, likely recognized for his regional or military significance.
  • D. John Woodvine
    John Woodvine is a British character actor known for his extensive work in television, film, and theatre, often portraying authoritative or military figures.
  • E. Virgil Miller
    Virgil Miller was an American cinematographer active during the early to mid-20th century, known for his work on numerous Hollywood genre films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192edd974819093a57456e7b12a03 completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:10 p.m.