Triple

T13350659
Position Surface form Disambiguated ID Type / Status
Subject Dana Stevens E318059 entity
Predicate created P538 FINISHED
Object Reckless E1034704 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: Reckless | Statement: [Dana Stevens, created, Reckless]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reckless
Context triple: [Dana Stevens, created, Reckless]
  • A. Reckless
    "Reckless" is a 1935 American musical drama film starring Jean Harlow and William Powell, known for its blend of romance, scandal, and backstage showbiz intrigue.
  • B. Reckless
    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 chosen
    "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 (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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f726738ea08190b0b7634b29f5d94e completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:31 p.m.