Triple

T18507921
Position Surface form Disambiguated ID Type / Status
Subject Paul Abbott E452247 entity
Predicate notableWork P4 FINISHED
Object Reckless 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: Reckless | Statement: [Paul Abbott, notableWork, Reckless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reckless
Context triple: [Paul Abbott, notableWork, Reckless]
  • A. Reckless
    Reckless is a 2016 country music album by American singer Martina McBride that blends contemporary country with pop-influenced ballads and reflective themes.
  • B. Reckless chosen
    Reckless is an American legal drama television series set in Charleston, South Carolina, focusing on the complicated personal and professional conflicts within the city's legal and law enforcement communities.
  • C. Reckless
    "Reckless" is a song by the American rock band Float, known for its energetic style and emotionally charged lyrics.
  • D. Reckless
    "Reckless" is a track by Nigerian singer Wizkid from his acclaimed Afrobeats album "Made in Lagos."
  • E. Reckless
    "Reckless" is a film written by playwright and screenwriter Dana Stevens, known for its darkly comedic exploration of personal upheaval and identity.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344033c8190a0883aef56ba79c3 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.