Triple

T3558264
Position Surface form Disambiguated ID Type / Status
Subject Donkey Kong E75272 entity
Predicate memberOfGroup P12263 FINISHED
Object Kong family E367869 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: Kong family | Statement: [Donkey Kong, memberOfGroup, Kong family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kong family
Context triple: [Donkey Kong, memberOfGroup, Kong family]
  • A. Kong family chosen
    The Kong family is the extended clan of ape characters in Nintendo's Donkey Kong series, including figures like Donkey Kong, Diddy Kong, and Cranky Kong.
  • B. King Kong franchise
    The King Kong franchise is a long-running series of films and related media centered on the giant ape King Kong, spanning from the original 1933 classic to modern reboots and crossovers.
  • C. King Kong Kirk
    King Kong Kirk was the ring name of Malcolm Kirk, a British professional wrestler known for his imposing size and presence in the ring during the 1970s and 1980s.
  • D. Kang the Conqueror
    Kang the Conqueror is a time-traveling supervillain in Marvel Comics, known for battling the Avengers across multiple eras and alternate timelines.
  • E. Kruger family
    The Kruger family is a South African family lineage known through marital connections such as that of Geytie Maria du Plessis.
  • 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc086e6688190b90ae356e18b953e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9983f48190bda2749d93c74a8d completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.