Triple

T10971975
Position Surface form Disambiguated ID Type / Status
Subject Kevin Williamson E259261 entity
Predicate notableWork P4 FINISHED
Object Stalker E534032 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: Stalker | Statement: [Kevin Williamson, notableWork, Stalker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stalker
Context triple: [Kevin Williamson, notableWork, Stalker]
  • A. Stalker
    Stalker is a 1979 Soviet science fiction art film by Andrei Tarkovsky that follows a guide leading two men through a mysterious forbidden zone said to grant one’s deepest desires.
  • B. Stalker chosen
    Stalker is an American psychological thriller television series centered on a specialized LAPD unit that investigates stalking-related crimes.
  • C. Stalker (TV series)
    Stalker is an American psychological thriller television series that follows a specialized LAPD unit investigating stalking cases, starring Dylan McDermott and Maggie Q.
  • D. Wasteland
    Wasteland is a post-apocalyptic comic series written by Antony Johnston, noted for its bleak world-building and long-form storytelling.
  • E. Hinterland
    Hinterland is a scenic inland region of South East Queensland known for its lush rainforests, mountain ranges, and charming rural towns popular with tourists.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719b5edc81908c1019f81e78bd2e completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d790df108190b4a3a6fece372778 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.