Triple

T10520564
Position Surface form Disambiguated ID Type / Status
Subject Christopher Tellefsen E248156 entity
Predicate edited P1932 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: [Christopher Tellefsen, edited, The Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Village
Context triple: [Christopher Tellefsen, edited, 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 a novel by William Faulkner that explores life, class, and moral decay in the fictional Yoknapatawpha County through the rise of the ambitious Flem Snopes.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509de0b3081909bec337aa8ff193e completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e119fe4819085e5c1c6e71e6260 completed April 10, 2026, 2:49 p.m.
Created at: April 6, 2026, 12:28 p.m.