Triple

T16785200
Position Surface form Disambiguated ID Type / Status
Subject Ram Singh E407952 entity
Predicate lastAppearance P16814 FINISHED
Object The Lost E1211064 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: The Lost | Statement: [Ram Singh, lastAppearance, The Lost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lost
Context triple: [Ram Singh, lastAppearance, The Lost]
  • A. The Lost chosen
    "The Lost" is an episode of the British science fiction series Class, set in the Doctor Who universe, featuring the alien Shadow Kin as central antagonists.
  • B. 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.
  • C. The Forgotten
    "The Forgotten" is a song by American punk rock band Green Day from their 2012 album trilogy.
  • D. 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.
  • E. Lost Laysen
    Lost Laysen is a posthumously published early novella by Margaret Mitchell, best known as the author of Gone with the Wind.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21996cc81909deb88545af7079f completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab07bdcc819086479178e5b8b679 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.