Triple

T147837
Position Surface form Disambiguated ID Type / Status
Subject Kenny Rogers E3368 entity
Predicate notableSingle P3283 FINISHED
Object Lady E17626 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: Lady | Statement: [Kenny Rogers, notableSingle, Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady
Context triple: [Kenny Rogers, notableSingle, Lady]
  • A. Lady chosen
    "Lady" is a 1980 country-pop love ballad by Kenny Rogers, written and produced by Lionel Richie, that became one of Rogers' signature hits.
  • B. Witney
    Witney is a UK parliamentary constituency in Oxfordshire, historically represented by prominent Conservative politicians including former Prime Minister David Cameron.
  • C. Lolita Baucaire
    Lolita Baucaire was the first wife of American writer and self-improvement pioneer Dale Carnegie.
  • D. Rihanna
    Rihanna is a Barbadian singer, songwriter, actress, and businesswoman known for her genre-blending pop and R&B hits and her influential fashion and beauty ventures, including the Fenty brand.
  • E. Madonna
    Madonna is a central figure in Christianity revered as the mother of Jesus Christ and a symbol of purity, compassion, and maternal devotion.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257ecb6f48190992c4c8ca908a81c completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c939ea148190984dfd347b12d136 completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.