Triple

T12101562
Position Surface form Disambiguated ID Type / Status
Subject Tina: The Tina Turner Musical E288201 entity
Predicate hasSong P20452 FINISHED
Object The Best E250020 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: The Best | Statement: [Tina: The Tina Turner Musical, hasSong, The Best]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Best
Context triple: [Tina: The Tina Turner Musical, hasSong, The Best]
  • A. The Best chosen
    "The Best" is a powerful pop-rock anthem popularized by Tina Turner that has become one of her signature songs and an enduring inspirational hit.
  • B. Be Best
    Be Best is a public awareness campaign launched by former U.S. First Lady Melania Trump focused on promoting children’s well-being, online safety, and anti-bullying efforts.
  • C. The Best at It
    The Best at It is a middle-grade novel by Maulik Pancholy about an Indian American boy navigating identity, anxiety, and first crushes in a small Midwestern town.
  • D. Best of the Best
    Best of the Best is a 1989 American martial arts sports drama film about a U.S. taekwondo team competing against South Korea, known for its intense tournament action and ensemble cast.
  • E. The Best of Everything
    The Best of Everything is a 1959 romantic drama film, based on Rona Jaffe’s novel, that follows the intertwined careers and love lives of young women working at a New York publishing house.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155576b48190849f0c3e079a935f completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f674eab481909859b5403741eddd completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.