Triple

T10471028
Position Surface form Disambiguated ID Type / Status
Subject Wednesday E246920 entity
Predicate executiveProducer P7225 FINISHED
Object Kayla Alpert E881332 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: Kayla Alpert | Statement: [Wednesday, executiveProducer, Kayla Alpert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kayla Alpert
Context triple: [Wednesday, executiveProducer, Kayla Alpert]
  • A. Kayla Alpert chosen
    Kayla Alpert is a television writer and producer known for her work on series such as the Netflix show "Wednesday."
  • B. Lauren Resnick
    Lauren Resnick is an American educational psychologist known for her influential research on learning, cognition, and the design of effective educational practices.
  • C. Libby Snyder
    Libby Snyder is known as the spouse of American poet James Wright.
  • D. Lauren Dolgen
    Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
  • E. Leah Schlossberg
    Leah Schlossberg, later known as Leah Rabin, was the wife of Israeli Prime Minister Yitzhak Rabin and an influential public figure and peace advocate in Israel.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:20 p.m.