Triple

T14942483
Position Surface form Disambiguated ID Type / Status
Subject Safe Haven E372564 entity
Predicate producer P490 FINISHED
Object Nicholas Sparks E529142 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: Nicholas Sparks | Statement: [Safe Haven, producer, Nicholas Sparks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Sparks
Context triple: [Safe Haven, producer, Nicholas Sparks]
  • A. Nicholas Sparks chosen
    Nicholas Sparks is a bestselling American novelist known for his emotionally driven romantic dramas, many of which have been adapted into popular films.
  • B. Winston Groom
    Winston Groom was an American novelist and non-fiction writer best known as the author of the novel "Forrest Gump," which inspired the acclaimed film adaptation.
  • C. Stephen Elliott
    Stephen Elliott was an American character actor known for his numerous supporting roles in film, television, and theater throughout the mid-20th century.
  • D. Alan Webber
    Alan Webber is an American politician and former business magazine co-founder who serves as the mayor of Santa Fe, New Mexico.
  • E. Rebecca Wells
    Rebecca Wells is an American author best known for her bestselling novel "Divine Secrets of the Ya-Ya Sisterhood" and its related works exploring Southern women’s lives and friendships.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bd69df481908d8b1a5e6add0a7b completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:38 a.m.