Triple

T23284465
Position Surface form Disambiguated ID Type / Status
Subject Discovery E588949 entity
Predicate hasTrack P3284 FINISHED
Object Short Circuit 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: Short Circuit | Statement: [Discovery, hasTrack, Short Circuit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Short Circuit
Context triple: [Discovery, hasTrack, Short Circuit]
  • A. Short Circuit chosen
    Short Circuit is a 1986 science fiction comedy film about a military robot that gains sentience after being struck by lightning.
  • B. Short Circuit 2
    Short Circuit 2 is a 1988 science-fiction comedy film that follows the adventures of the sentient robot Johnny 5 as he navigates life in a big city while being exploited by criminals.
  • C. Ball Lightning
    "Ball Lightning" is a science fiction novel by Chinese author Liu Cixin that explores the mysterious natural phenomenon of ball lightning through a blend of hard science, military intrigue, and philosophical reflection on technology and warfare.
  • D. Blue Box
    Blue Box was a compatibility environment in early Mac OS X that allowed users to run classic Mac OS applications within the new operating system.
  • E. Zapping
    Zapping is a Spanish film that marked the screen debut of actress Paz Vega.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f196454b4c8190a797537ce8912241 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:59 p.m.