Triple

T1714741
Position Surface form Disambiguated ID Type / Status
Subject Night Shift E37264 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Jerusalem's Lot E37481 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: Jerusalem's Lot | Statement: [Night Shift, basedOnWorkBy, Jerusalem's Lot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerusalem's Lot
Context triple: [Night Shift, basedOnWorkBy, Jerusalem's Lot]
  • A. Salem's Lot chosen
    Salem's Lot is a horror novel by Stephen King about a small town slowly overtaken by vampires.
  • B. Asylum Hill
    Asylum Hill is a historic neighborhood in Hartford, Connecticut, known for its Victorian architecture, major insurance company headquarters, and cultural institutions.
  • C. The Fog
    The Fog is a 1980 supernatural horror film directed by John Carpenter, centered on a coastal town haunted by vengeful ghosts who return shrouded in an eerie, glowing mist.
  • D. The Valley of Ghosts
    The Valley of Ghosts is a mystery novel by British writer Edgar Wallace, known for its suspenseful crime plot and atmospheric setting.
  • E. NOS4A2
    NOS4A2 is a horror novel by Joe Hill that follows a woman with a supernatural gift as she confronts a child-abducting immortal who feeds on souls in a twisted Christmas-themed realm.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa633349248190822e560fde817fc7 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada97dfb1c819084e750a8550d3e82 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:30 p.m.