Triple

T21371939
Position Surface form Disambiguated ID Type / Status
Subject Dean Zimmerman E527086 entity
Predicate notableWork P4 FINISHED
Object The Watch NE NERFINISHED

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 Watch | Statement: [Dean Zimmerman, notableWork, The Watch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Watch
Context triple: [Dean Zimmerman, notableWork, The Watch]
  • A. The Watch
    The Watch is the student-run newspaper of the University of King’s College in Halifax, Nova Scotia, known for its campus news coverage and commentary.
  • B. The Watch chosen
    The Watch is a 2012 American science fiction comedy film about a suburban neighborhood watch group that uncovers an alien invasion.
  • C. The Watchman
    The Watchman is an early 20th-century Hebrew-language newspaper associated with the Zionist settlement movement in Ottoman Palestine.
  • D. The Watcher
    The Watcher is a Netflix true-crime thriller series inspired by real events, in which Bobby Cannavale stars as a husband terrorized by ominous letters after moving his family into their dream home.
  • E. The Watcher
    The Watcher is a mysterious, silent figure in Doctor Who who appears during the Fourth Doctor’s final adventure, foreshadowing and facilitating his regeneration into the Fifth Doctor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0af44d88190aedd3b2127bb297d completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.