Triple

T18283133
Position Surface form Disambiguated ID Type / Status
Subject Ashildr E437912 entity
Predicate firstAppearance P795 FINISHED
Object "The Girl Who Died" NE NERFINISHED

How this triple was built (3 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 Girl Who Died" | Statement: [Ashildr, firstAppearance, "The Girl Who Died"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "The Girl Who Died"
Context triple: [Ashildr, firstAppearance, "The Girl Who Died"]
  • A. The Dead Girl
    The Dead Girl is a 2006 independent drama film directed by Karen Moncrieff that interweaves multiple women's stories connected by the discovery of a young woman's murdered body.
  • B. The Girl Who Was Death
    "The Girl Who Was Death" is a surreal, fairy-tale-like episode of the 1960s British television series *The Prisoner*, noted for its whimsical tone and departure from the show's usual psychological intensity.
  • C. The Woman Who Died a Lot
    The Woman Who Died a Lot is a comic fantasy novel in Jasper Fforde’s Thursday Next series, blending literary satire, time travel, and absurdist adventure in an alternate reality Britain.
  • D. The Boy Who Wouldn’t Die
    The Boy Who Wouldn’t Die is a memoir recounting David Nyuol Vincent’s harrowing experiences as a child refugee from the Sudanese civil war and his eventual resettlement in Australia.
  • E. Every Day a Little Death
    "Every Day a Little Death" is a bittersweet, introspective song from Stephen Sondheim's musical *A Little Night Music* that explores the quiet emotional toll of disappointment and compromise in relationships.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: "The Girl Who Died"
Target entity description: "The Girl Who Died" is a 2015 Doctor Who television episode featuring the Twelfth Doctor and Clara Oswald, notable for introducing the Viking girl Ashildr, played by Maisie Williams.
  • A. The Dead Girl
    The Dead Girl is a 2006 independent drama film directed by Karen Moncrieff that interweaves multiple women's stories connected by the discovery of a young woman's murdered body.
  • B. The Girl Who Was Death
    "The Girl Who Was Death" is a surreal, fairy-tale-like episode of the 1960s British television series *The Prisoner*, noted for its whimsical tone and departure from the show's usual psychological intensity.
  • C. The Woman Who Died a Lot
    The Woman Who Died a Lot is a comic fantasy novel in Jasper Fforde’s Thursday Next series, blending literary satire, time travel, and absurdist adventure in an alternate reality Britain.
  • D. The Boy Who Wouldn’t Die
    The Boy Who Wouldn’t Die is a memoir recounting David Nyuol Vincent’s harrowing experiences as a child refugee from the Sudanese civil war and his eventual resettlement in Australia.
  • E. Every Day a Little Death
    "Every Day a Little Death" is a bittersweet, introspective song from Stephen Sondheim's musical *A Little Night Music* that explores the quiet emotional toll of disappointment and compromise in relationships.
  • F. None of above. chosen

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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50057c5c881909fcda72f4a98c8c3 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:35 a.m.