Triple

T17265341
Position Surface form Disambiguated ID Type / Status
Subject Stanley Shapiro E419110 entity
Predicate wrote P2831 FINISHED
Object Come September E315155 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: Come September | Statement: [Stanley Shapiro, wrote, Come September]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Come September
Context triple: [Stanley Shapiro, wrote, Come September]
  • A. Come September chosen
    Come September is a 1961 romantic comedy film starring Rock Hudson, Gina Lollobrigida, Sandra Dee, and Bobby Darin, known for its lighthearted plot and picturesque Italian setting.
  • B. See You in September
    "See You in September" is a 2010 romantic comedy film about a woman whose therapist goes on vacation, leading her to start a support group for other patients.
  • C. Two Weeks in September
    Two Weeks in September is a 1967 romantic drama film starring Brigitte Bardot as a young woman torn between her comfortable marriage and a passionate new affair.
  • D. Eight Days in September
    Eight Days in September is a political memoir by South African cleric and activist Frank Chikane that chronicles the dramatic events surrounding the 2008 ousting of President Thabo Mbeki.
  • E. Summer Will Show
    Summer Will Show is a 1936 historical novel by Sylvia Townsend Warner that follows an Englishwoman drawn into revolutionary politics and an intense same-sex relationship during the 1848 Paris uprisings.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f44ec7c81909a925fc8692b0a6c completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794641648190a5db87ecb359c17a completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:40 a.m.