Triple

T2010930
Position Surface form Disambiguated ID Type / Status
Subject Prince E43685 entity
Predicate associatedAct P37 FINISHED
Object Sheena Easton E17835 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: Sheena Easton | Statement: [Prince, associatedAct, Sheena Easton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sheena Easton
Context triple: [Prince, associatedAct, Sheena Easton]
  • A. Sheena Easton chosen
    Sheena Easton is a Scottish pop singer and actress who rose to fame in the 1980s with hits like "Morning Train (Nine to Five)" and "For Your Eyes Only."
  • B. Belinda Carlisle
    Belinda Carlisle is an American singer and former lead vocalist of the Go-Go's who achieved major solo success in the 1980s with pop hits like "Heaven Is a Place on Earth."
  • C. Pat Benatar
    Pat Benatar is an American rock singer and four-time Grammy Award winner known for hits like "Hit Me with Your Best Shot" and "Love Is a Battlefield."
  • D. Judy Howard
    Judy Howard was the wife of American actor Rance Howard and the mother of filmmaker Ron Howard and actor Clint Howard.
  • E. Cyndi Lauper
    Cyndi Lauper is an American singer, songwriter, and actress known for her distinctive voice, eclectic style, and 1980s pop hits such as "Girls Just Want to Have Fun" and "Time After Time."
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b150a8819096c919465fd91ab5 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae85ed48190adc75fd17b17f6c9 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.