Triple

T10141767
Position Surface form Disambiguated ID Type / Status
Subject Sean Garrett E231598 entity
Predicate notableWork P4 FINISHED
Object Diva E240615 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: Diva | Statement: [Sean Garrett, notableWork, Diva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diva
Context triple: [Sean Garrett, notableWork, Diva]
  • A. Diva chosen
    "Diva" is a swaggering, club-ready R&B/pop track by Beyoncé that celebrates female confidence and star power.
  • B. Diva’s Lament
    Diva’s Lament is a comedic show-stopping solo number from the Broadway musical *Spamalot*, in which the Lady of the Lake humorously complains about her lack of stage time and the demands placed on divas.
  • C. Il Divo
    Il Divo is a multinational classical crossover vocal group known for blending operatic technique with popular songs in multiple languages.
  • D. Madama
    Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
  • E. Gala
    Gala was a Numidian king of the Massylii tribe in North Africa during the 3rd century BCE, known for his role in the power dynamics surrounding Carthage and Rome before and during the Second Punic War.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e60e51488190a6097837eb3ce18a completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.