Triple

T16796409
Position Surface form Disambiguated ID Type / Status
Subject Weird Science E408243 entity
Predicate hasTelevisionUsage P124664 FINISHED
Object theme for TV series Weird Science (1994) 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: theme for TV series Weird Science (1994) | Statement: [Weird Science, hasTelevisionUsage, theme for TV series Weird Science (1994)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTelevisionUsage
Context triple: [Weird Science, hasTelevisionUsage, theme for TV series Weird Science (1994)]
  • A. televisionExposureLevel
    Indicates the degree or amount of exposure an entity has to television content.
  • B. televisionTechnologyUsed
    Indicates that a particular television or television-related product operates using, or is based on, a specified technology.
  • C. televisionServiceStatus
    Indicates the operational or subscription state of a television service for an entity.
  • D. hasScreenTimeIn
    Indicates that an entity appears on screen for a certain duration within a specified audiovisual work or segment.
  • E. televisionShare
    Indicates the proportion of total television audience or viewing time captured by a particular program, channel, or entity relative to all viewing in a given market or period.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2aa1ff48190ab9b6750bc4d7974 completed April 18, 2026, 4:34 p.m.
PD Predicate disambiguation batch_69e319cf691c819083e39225f5777ef0 completed April 18, 2026, 5:42 a.m.
PDg Predicate description generation batch_69e326bac94481908c082117553320f8 completed April 18, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:22 a.m.