Triple
T15441588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny |
E369914
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Keni |
E1158153
|
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: Keni | Statement: [Kenny, hasSpellingVariant, Keni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keni Context triple: [Kenny, hasSpellingVariant, Keni]
-
A.
Keni
chosen
Keni is a given name variant of Kenny, typically used as a personal name.
-
B.
Keshi
Keshi is a horse-demon in Hindu mythology best known for being slain by the god Krishna (also called Kesava).
-
C.
Kini
Kini is a small coastal village and popular beach resort on the Greek island of Syros in the Cyclades.
-
D.
Kwayo
Kwayo is an alternative name for the Kwaio language, an Austronesian language spoken by the Kwaio people of Malaita in the Solomon Islands.
-
E.
Kabi
Kabi is an ethnonym referring to the Kabi Kabi (Gubbi Gubbi) Aboriginal people of southeastern Queensland, Australia.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cf7ce7c8190810ef35b6e37254d |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:21 a.m.