Triple

T15064137
Position Surface form Disambiguated ID Type / Status
Subject The Vow E379711 entity
Predicate title P38 FINISHED
Object The Vow E379711 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: The Vow | Statement: [The Vow, title, The Vow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Vow
Context triple: [The Vow, title, The Vow]
  • A. The Vow chosen
    The Vow is a 2012 romantic drama film starring Rachel McAdams and Channing Tatum, inspired by a true story about a married couple struggling to rebuild their relationship after a traumatic accident causes severe memory loss.
  • B. The Eternal Vow
    "The Eternal Vow" is a prominent, lyrical instrumental piece from the "Crouching Tiger, Hidden Dragon" soundtrack, noted for its haunting cello melodies and evocative, romantic atmosphere.
  • C. Day of the Vow
    Day of the Vow is a South African Afrikaner religious and historical holiday commemorating the Voortrekkers’ victory over the Zulu at the Battle of Blood River in 1838.
  • D. Wedding Wars
    Wedding Wars is a romantic comedy film centered on a gay wedding planner whose strike for marriage equality disrupts his brother’s high-profile nuptials.
  • E. Til Death
    Til Death is an American sitcom that follows the comedic ups and downs of a long-married couple, starring Brad Garrett and Joely Fisher.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c8b3ac8190b8fc921b6e6eeed5 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.