Triple

T19517852
Position Surface form Disambiguated ID Type / Status
Subject Lorraine Ashbourne E488323 entity
Predicate notableWork P4 FINISHED
Object Unforgotten 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: Unforgotten | Statement: [Lorraine Ashbourne, notableWork, Unforgotten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unforgotten
Context triple: [Lorraine Ashbourne, notableWork, Unforgotten]
  • A. Unforgotten chosen
    Unforgotten is a British crime drama television series that follows detectives as they investigate long-unsolved cold cases, uncovering buried secrets and emotional fallout.
  • B. The Forgotten
    "The Forgotten" is a song by American punk rock band Green Day from their 2012 album trilogy.
  • C. The Forgotten
    "The Forgotten" is a film produced by Bruce Cohen, best known as an American movie producer behind several acclaimed Hollywood dramas and comedies.
  • D. The Forgotten
    The Forgotten is an American crime drama television series that follows a volunteer group dedicated to identifying unnamed murder victims and uncovering the stories behind their deaths.
  • E. The Unforgotten Coat
    The Unforgotten Coat is a children's novel by Frank Cottrell-Boyce that follows two Mongolian refugee brothers and their friendship with a British schoolgirl, exploring themes of memory, migration, and belonging.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359da24c81909a0fd165a0fc0e33 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.