Triple

T13003492
Position Surface form Disambiguated ID Type / Status
Subject Saniyya Sidney E322226 entity
Predicate appearsIn P795 FINISHED
Object The Passage E1016086 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 Passage | Statement: [Saniyya Sidney, appearsIn, The Passage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Passage
Context triple: [Saniyya Sidney, appearsIn, The Passage]
  • A. The Passage
    The Passage is a 1979 war thriller film directed by J. Lee Thompson, starring Anthony Quinn and set during World War II in the Pyrenees.
  • B. The Passage chosen
    The Passage is a post-apocalyptic vampire thriller television series based on Justin Cronin’s novel, following a young girl whose blood may hold the key to saving humanity.
  • C. The Ruins
    The Ruins is a 2008 horror film, based on Scott Smith’s novel, about a group of tourists trapped at an isolated Mayan ruin menaced by a malevolent, sentient vine.
  • D. The Aftermath
    "The Aftermath" is a track from Danny Elfman's darkly whimsical orchestral score for the 1988 fantasy-comedy film Beetlejuice.
  • E. The Aftermath
    The Aftermath is a 2019 British-German drama film set in post-World War II Hamburg, starring Keira Knightley, Alexander Skarsgård, and Jason Clarke, that explores grief, reconciliation, and forbidden romance amid the ruins of war.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9a2a448190968833354280e474 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc5c9a88190b70bda472bf3b062 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:47 p.m.