Triple

T12187137
Position Surface form Disambiguated ID Type / Status
Subject WPS E290360 entity
Predicate featuredPlayer P2630 FINISHED
Object Kelly Smith E150500 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: Kelly Smith | Statement: [WPS, featuredPlayer, Kelly Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kelly Smith
Context triple: [WPS, featuredPlayer, Kelly Smith]
  • A. Kelly Smith chosen
    Kelly Smith is a former English footballer widely regarded as one of the greatest players in the history of women’s football, known for her prolific goal-scoring and creative attacking play.
  • B. Jamie Sommers
    Jamie Sommers is a hip-hop artist known for her collaborations and appearances on underground rap projects such as "Digital Bullet."
  • C. Nancy Thompson
    Nancy Thompson is the resourceful teenage heroine of the original "A Nightmare on Elm Street" film, known for battling the dream-stalking killer Freddy Krueger.
  • D. Cheryl Malone
    Cheryl Malone is a notable individual recognized for achievements significant enough to be associated with the Malone surname.
  • E. Marla Daniels
    Marla Daniels is a politically ambitious lawyer and school board member in the television series "The Wire," known for her strained marriage to police lieutenant Cedric Daniels.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d916012c2c819085824332ad60059e completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6b0a84c8190ae593e368c13b5a5 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.