Triple

T10973677
Position Surface form Disambiguated ID Type / Status
Subject Michael Myers at Hillcrest Academy E259312 entity
Predicate continuityPosition P96928 FINISHED
Object direct sequel context to the original Halloween timeline LITERAL 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: direct sequel context to the original Halloween timeline | Statement: [Michael Myers at Hillcrest Academy, continuityPosition, direct sequel context to the original Halloween timeline]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: continuityPosition
Context triple: [Michael Myers at Hillcrest Academy, continuityPosition, direct sequel context to the original Halloween timeline]
  • A. positionOnRecord
    Indicates the specific place or rank an item occupies within an ordered record or listing.
  • B. playingPosition
    Indicates the specific role or position an individual occupies while participating in a game or sport.
  • C. currentPosition
    Indicates the present role, job, or status an entity currently holds within a given context.
  • D. discPosition
    Indicates the spatial or ordinal placement of a disc relative to a reference point or within a set or structure.
  • E. endTimePosition
    Indicates the temporal position or point in time at which an event, state, or interval comes to an end.
  • F. None of above. chosen

Provenance (4 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_69d7719c16648190ab5a87abb1c61990 completed April 9, 2026, 9:30 a.m.
PD Predicate disambiguation batch_69d72e8c27cc81908050590b7a04cafd completed April 9, 2026, 4:43 a.m.
PDg Predicate description generation batch_69d7322370648190ba14cdd6fb4cdcb0 completed April 9, 2026, 4:59 a.m.
Created at: April 8, 2026, 9:24 p.m.