Triple

T20901336
Position Surface form Disambiguated ID Type / Status
Subject Batman: The Long Halloween, Part One E514672 entity
Predicate featuresCharacter P626 FINISHED
Object Calendar Man 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: Calendar Man | Statement: [Batman: The Long Halloween, Part One, featuresCharacter, Calendar Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calendar Man
Context triple: [Batman: The Long Halloween, Part One, featuresCharacter, Calendar Man]
  • A. Calendar Man chosen
    Calendar Man is a DC Comics supervillain and recurring Batman adversary known for committing crimes themed around holidays and calendar dates.
  • B. Calendar
    Calendar is Apple's built-in calendar and scheduling application for macOS and iOS that lets users manage events, reminders, and time-based tasks.
  • C. Calendar
    Calendar is a 2003 Canadian drama film directed by Atom Egoyan, known for its introspective narrative and collaboration with cinematographer Paul Sarossy.
  • D. Calendarium
    Calendarium is an influential 15th-century astronomical and calendrical work by the German mathematician and astronomer Regiomontanus, used for improving the accuracy of calendars and predicting celestial events.
  • E. Micro Planner
    Micro Planner is an early AI-oriented programming language developed at MIT for symbolic processing and problem-solving tasks.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fc5d488190b62f51c35e768d38 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.