Triple

T22433219
Position Surface form Disambiguated ID Type / Status
Subject Lootera E554548 entity
Predicate inspiredBy P9 FINISHED
Object O. Henry 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: O. Henry | Statement: [Lootera, inspiredBy, O. Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O. Henry
Context triple: [Lootera, inspiredBy, O. Henry]
  • A. O. Henry chosen
    O. Henry was the pen name of American short story writer William Sydney Porter, renowned for his witty narratives and twist endings.
  • B. George Ade
    George Ade was an American writer and newspaper columnist best known for his humorous fables, satirical sketches, and successful Broadway plays in the early 20th century.
  • C. John Howells
    John Howells is a notable individual who shares the surname associated with the prominent Howells family name.
  • D. Elihu Doty
    Elihu Doty was a 19th-century American missionary and linguist known for his pioneering role in developing and promoting the Pe̍h-ōe-jī romanization system for Southern Min (Hokkien) Chinese.
  • E. Eugene Field
    Eugene Field was an American writer best known for his humorous newspaper columns and beloved children's poetry, including "Wynken, Blynken, and Nod."
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.