Triple
T16069358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Kong Escapes |
E389817
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Mechani-Kong |
E389821
|
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: Mechani-Kong | Statement: [King Kong Escapes, featuresCharacter, Mechani-Kong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mechani-Kong Context triple: [King Kong Escapes, featuresCharacter, Mechani-Kong]
-
A.
Mechani-Kong
chosen
Mechani-Kong is a robotic doppelgänger of King Kong featured as an antagonist in the King Kong franchise.
-
B.
Swanky Kong
Swanky Kong is a flashy, game-show–host-style member of the Kong family in the Donkey Kong video game series, known for running bonus game booths and mini-games.
-
C.
Cranky Kong
Cranky Kong is an elderly, grouchy member of the Kong family in the Donkey Kong series, often portrayed as a wise but sarcastic mentor figure.
-
D.
Chunky Kong
Chunky Kong is a large, strong but timid gorilla character from the Donkey Kong video game series, known for his immense strength and childlike personality.
-
E.
Wrinkly Kong
Wrinkly Kong is an elderly female Kong from the Donkey Kong video game series, often depicted as a wise, supportive character who assists players with advice and educational roles.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183bb98c88190ae4b5773358078be |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe4827cd48190aa470c6537e72508 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.