Triple

T16253489
Position Surface form Disambiguated ID Type / Status
Subject Susan Alexandra Weaver E394571 entity
Predicate notableWork P4 FINISHED
Object The Village E89074 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 Village | Statement: [Susan Alexandra Weaver, notableWork, The Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Village
Context triple: [Susan Alexandra Weaver, notableWork, The Village]
  • A. The Village
    The Village is a themed area within the Dollywood amusement park featuring shops, attractions, and classic Smoky Mountain charm.
  • B. The Village
    The Village is a small residential city in central Oklahoma that functions largely as a suburb of Oklahoma City.
  • C. The Village
    The Village is a British television series in which Abigail Cruttenden appeared, depicting life in an English village across the 20th century.
  • D. The Village chosen
    The Village is a 2004 psychological thriller film directed by M. Night Shyamalan, known for its isolated 19th-century-style community, eerie atmosphere, and twist-driven narrative.
  • E. The Village
    The Village is Toronto’s most prominent LGBTQ+ neighborhood, centered around the Church and Wellesley intersection and known for its vibrant queer culture, nightlife, and community events.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24598c9488190a92df7d8b1824724 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee788f88190b16d267f1eee6d62 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.