Triple

T20127639
Position Surface form Disambiguated ID Type / Status
Subject Dave Eggers E490799 entity
Predicate notableWork P4 FINISHED
Object The Every 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: The Every | Statement: [Dave Eggers, notableWork, The Every]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Every
Context triple: [Dave Eggers, notableWork, The Every]
  • A. The Every chosen
    The Every is a dystopian novel by Dave Eggers that explores the dangers of surveillance capitalism and the consolidation of Big Tech power into a single, all-controlling company.
  • B. The Smith
    The Smith is an epithet of Aulë, the Vala in J.R.R. Tolkien’s legendarium who is revered as the master craftsman and creator of the Dwarves.
  • C. The Eleven
    The Eleven is the nickname of Indy Eleven, a professional soccer club based in Indianapolis that competes in the USL Championship.
  • D. The Eleven
    "The Eleven" is a complex, improvisational Grateful Dead song known for its unusual 11/8 time signature and extended live jams.
  • E. The Boy
    The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66743494c81908e63a5efca3aa3ea completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:31 p.m.