Triple

T20329218
Position Surface form Disambiguated ID Type / Status
Subject Anna Maria Alberghetti E492424 entity
Predicate notableWork P4 FINISHED
Object Here Comes the Groom 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: Here Comes the Groom | Statement: [Anna Maria Alberghetti, notableWork, Here Comes the Groom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Here Comes the Groom
Context triple: [Anna Maria Alberghetti, notableWork, Here Comes the Groom]
  • A. Here Comes the Groom chosen
    Here Comes the Groom is a 1951 romantic musical comedy film starring Bing Crosby and directed by Frank Capra.
  • B. Here Come the Brides
    Here Come the Brides is an American television comedy-drama series from the late 1960s that follows three brothers in 19th-century Seattle who bring prospective brides to their logging community.
  • C. A Wedding
    "A Wedding" is a 1978 ensemble comedy film directed by Robert Altman that satirically portrays the chaos and social dynamics surrounding an upper-class wedding.
  • D. Blushing Groom
    Blushing Groom was a top-class French Thoroughbred racehorse and highly influential sire whose bloodlines have shaped modern international racing and breeding.
  • E. To the Wedding
    "To the Wedding" is a 1995 novel by John Berger that follows several characters converging on an Italian wedding while confronting love, loss, and the impact of AIDS.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e637e48190b5582e97fe1000c0 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.