Triple
T11869509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiowa Apache |
E282369
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Naʼisha |
E732785
|
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: Naʼisha | Statement: [Kiowa Apache, alsoKnownAs, Naʼisha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naʼisha Context triple: [Kiowa Apache, alsoKnownAs, Naʼisha]
-
A.
Nesha
chosen
Nesha is a given name that can refer to various people or entities, often used as a feminine personal name in different cultures.
-
B.
Nikkiya
Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
-
C.
Naima
Naima is a character in the gospel musical and film "Black Nativity," which reimagines the Nativity story through an African-American cultural and spiritual lens.
-
D.
Naima
"Naima" is a lyrical, modal jazz ballad composed by saxophonist John Coltrane, renowned for its haunting melody and emotional depth.
-
E.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73c04e4819084c0b2ff8e5d2f04 |
completed | April 10, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417bb131c8190b0923e077cca74be |
completed | May 1, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:43 p.m.