Triple

T14636500
Position Surface form Disambiguated ID Type / Status
Subject Jazz Age literature E343619 entity
Predicate hasNotableWork P4 FINISHED
Object Babbitt E497909 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: Babbitt | Statement: [Jazz Age literature, hasNotableWork, Babbitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babbitt
Context triple: [Jazz Age literature, hasNotableWork, Babbitt]
  • A. Babbitt
    Babbitt is a surname most notably associated with American literary critic and academic Irving Babbitt.
  • B. Babbitt chosen
    Babbitt is a 1934 American film adaptation of Sinclair Lewis’s novel, featuring Guy Kibbee in the title role as a middle-class businessman confronting the emptiness of his conformist life.
  • C. Babbit
    Babbit is a cartoon character from the Looney Tunes universe, best known as one of the two mischievous cats who repeatedly try to catch Tweety Bird.
  • D. Solidere
    Solidere is a Lebanese real estate company responsible for the post-civil war reconstruction and development of Beirut’s central district.
  • E. Bondo
    Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ab9578819085b4cf7244d30d87 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda933937881909f3cf59fba878dfd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.