Triple

T16525118
Position Surface form Disambiguated ID Type / Status
Subject Running Blind E401414 entity
Predicate followedBy P78 FINISHED
Object Echo Burning E401415 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: Echo Burning | Statement: [Running Blind, followedBy, Echo Burning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Echo Burning
Context triple: [Running Blind, followedBy, Echo Burning]
  • A. Echo Burning chosen
    Echo Burning is a thriller novel by Lee Child featuring drifter ex-military policeman Jack Reacher as he becomes entangled in a violent conspiracy in rural Texas.
  • B. The Burn
    The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
  • C. The Burning
    The Burning is a 1981 American slasher film, notable for its summer-camp setting and early special effects work by makeup artist Tom Savini.
  • D. The Burning
    The Burning was a Union scorched-earth campaign in the Shenandoah Valley during the American Civil War, aimed at destroying Confederate resources and crippling the region’s ability to support the Southern war effort.
  • E. The Burning
    "The Burning" is a popular episode of the sitcom *Seinfeld*, best known for featuring George Costanza’s “jerk store” comeback and Kramer’s storyline about medical students observing operations.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed323c081908218460aa4ae3cf6 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067a7616c8190af486bef3331e115 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:14 a.m.