Triple

T20311111
Position Surface form Disambiguated ID Type / Status
Subject Alexa Kenin E510244 entity
Predicate name P16 FINISHED
Object Alexa Kenin NE NERFINISHED

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: Alexa Kenin | Statement: [Alexa Kenin, name, Alexa Kenin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexa Kenin
Context triple: [Alexa Kenin, name, Alexa Kenin]
  • A. Alexa Kenin chosen
    Alexa Kenin was an American film and television actress known for her supporting roles in 1980s movies such as "Pretty in Pink" and "Little Darlings."
  • B. Jessica Pegula
    Jessica Pegula is an American professional tennis player known for her success on the WTA Tour and for being one of the top-ranked women’s singles competitors in the world.
  • C. Naomi Osaka
    Naomi Osaka is a Japanese professional tennis player and multiple Grand Slam champion known for her powerful baseline game and influential advocacy on social issues.
  • D. Madison Keys
    Madison Keys is an American professional tennis player known for her powerful baseline game and for reaching the 2017 US Open final and multiple Grand Slam semifinals.
  • E. Sloane Stephens
    Sloane Stephens is an American professional tennis player best known for winning the 2017 US Open singles title and reaching a career-high ranking inside the WTA top 5.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677441f9c8190acf98dc92c77732b completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.