Triple

T23188391
Position Surface form Disambiguated ID Type / Status
Subject Nanette Newman E579660 entity
Predicate notableWork P4 FINISHED
Object The Best of Everything 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: The Best of Everything | Statement: [Nanette Newman, notableWork, The Best of Everything]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Best of Everything
Context triple: [Nanette Newman, notableWork, The Best of Everything]
  • A. The Best of Everything chosen
    The Best of Everything is a 1959 romantic drama film, based on Rona Jaffe’s novel, that follows the intertwined careers and love lives of young women working at a New York publishing house.
  • B. The Best of Everything
    The Best of Everything is a song by Tom Petty and the Heartbreakers featured on their 1985 album Southern Accents.
  • C. The Best of What’s Around
    "The Best of What’s Around" is a popular song by the Dave Matthews Band, known as the uplifting opening track on their major-label debut album.
  • D. The Best at It
    The Best at It is a middle-grade novel by Maulik Pancholy about an Indian American boy navigating identity, anxiety, and first crushes in a small Midwestern town.
  • E. The Best of Men
    The Best of Men is a work by British author and publisher George Faber, reflecting his literary craftsmanship beyond his influential role at Faber and Faber.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd592248190a7e705c554885cd1 completed April 29, 2026, 4:57 a.m.
Created at: April 17, 2026, 4:05 p.m.