Triple

T14130755
Position Surface form Disambiguated ID Type / Status
Subject Matt Charman E350157 entity
Predicate wrote P2831 FINISHED
Object Regrets E1081995 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: Regrets | Statement: [Matt Charman, wrote, Regrets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Regrets
Context triple: [Matt Charman, wrote, Regrets]
  • A. Regrets chosen
    "Regrets" is a dramatic work by British playwright and screenwriter Matt Charman, reflecting his talent for character-driven, emotionally resonant storytelling.
  • B. No Regrets
    "No Regrets" is a garage rock track by American band The Von Bondies, showcasing their raw, energetic style and gritty guitar-driven sound.
  • C. The Things I Regret
    "The Things I Regret" is a song by American singer-songwriter Brandi Carlile from her album "The Firewatcher’s Daughter."
  • D. Les Regrets
    Les Regrets is a 1558 sonnet collection by French Renaissance poet Joachim du Bellay, noted for its introspective, melancholic reflections on exile, disillusionment, and the poet’s experience in Rome.
  • E. With No Regrets
    "With No Regrets" is a memoir by Indian author Krishna Hutheesing reflecting on her life, family, and experiences within the Nehru–Gandhi political dynasty.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e485fc8190aad0cce445aaec1a completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:47 p.m.