Triple

T15964525
Position Surface form Disambiguated ID Type / Status
Subject Mola Ram E387149 entity
Predicate enemyOf P437 FINISHED
Object Short Round E387148 NE 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: Short Round | Statement: [Mola Ram, enemyOf, Short Round]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Short Round
Context triple: [Mola Ram, enemyOf, Short Round]
  • A. Short Round chosen
    Short Round is a resourceful young Chinese sidekick who accompanies Indiana Jones on his perilous adventures in the film "Indiana Jones and the Temple of Doom."
  • B. Short
    Short is an English-language surname of Anglo-Saxon origin, historically given as a descriptive nickname for a person of small stature.
  • C. Short 184
    The Short 184 was a British World War I reconnaissance and torpedo-carrying seaplane widely used for naval operations and notable for conducting the first successful aerial torpedo attack.
  • D. Short 360
    The Short 360 is a British-built, twin-engine turboprop regional airliner known for its boxy fuselage, high-wing design, and use on short-haul commuter routes.
  • E. Short n’ Sweet
    Short n’ Sweet is a pop album by American singer Sabrina Carpenter, showcasing her playful lyricism and polished, hook-heavy sound.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572475948190af0e3b12de0f6cea completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1893388190800f013fab415ae7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:54 a.m.