Triple
T15412887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diddy Kong |
E368636
|
entity |
| Predicate | memberOf |
P10
|
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: [Diddy Kong, memberOf, Kong family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kong family Context triple: [Diddy Kong, memberOf, 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.
Kong family
The Kong family is the direct patrilineal lineage and clan of the Chinese philosopher Confucius, historically revered as his descendants and custodians of his legacy.
-
C.
Kong
Kong is an inverted steel roller coaster at Six Flags Discovery Kingdom known for its multiple inversions and intense, suspended ride experience.
-
D.
Kong (MonsterVerse)
Kong (MonsterVerse) is a colossal, intelligent ape-like Titan who serves as one of the central heroic monsters in Legendary Pictures’ MonsterVerse franchise.
-
E.
KONG
KONG is a television station in the Seattle–Tacoma market, commonly associated with KING-TV as its sister station.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea7561481909b04e613e2352f82 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a754d1881909ed322479bab460d |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.