Triple

T21816399
Position Surface form Disambiguated ID Type / Status
Subject One on One E538615 entity
Predicate writer P1360 FINISHED
Object Janna Allen 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: Janna Allen | Statement: [One on One, writer, Janna Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janna Allen
Context triple: [One on One, writer, Janna Allen]
  • A. Janna Allen chosen
    Janna Allen was an American songwriter best known for her frequent collaborations with the pop-rock duo Hall & Oates during the late 1970s and 1980s.
  • B. Alanna Ubach
    Alanna Ubach is an American actress and voice actress known for her versatile character roles in film, television, and animation, including work in projects like "Legally Blonde," "Euphoria," and various animated features.
  • C. Adrianne Allen
    Adrianne Allen was a British stage and film actress known for her work in the early to mid-20th century and as the mother of actress Anna Massey.
  • D. Alanna Heiss
    Alanna Heiss is an American curator and arts administrator best known for pioneering alternative art spaces and founding the influential contemporary art institution MoMA PS1 in New York City.
  • E. Molly Allen
    Molly Allen is a film producer known for her work on the 2014 comedy-drama "Chef."
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07ccac9f08190b835ee7a40ecf4c2 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:54 p.m.