Triple
T10511606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candice |
E247927
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Kandace |
E247927
|
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: Kandace | Statement: [Candice, hasVariant, Kandace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kandace Context triple: [Candice, hasVariant, Kandace]
-
A.
Kaydence
Kaydence is an American songwriter and producer best known for co-writing major pop and R&B hits, including Ariana Grande’s chart-topping single "7 Rings."
-
B.
Candice
chosen
Candice is a feminine given name commonly used in English-speaking countries, often associated with the meaning "clarity" or "purity."
-
C.
Candace
Candace is a central female character in the romantic comedy film "Think Like a Man," portrayed as a single mother navigating love and relationships while inspired by Steve Harvey’s dating advice.
-
D.
Candace
Candace is the Greco-Roman rendering of the royal title "Kandake," historically used for queens or queen mothers of the ancient Kingdom of Kush in Nubia.
-
E.
Keisha
Keisha is a feminine given name used in English-speaking communities, often associated with African-American culture.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b5fcb8819087a23a2b26aecd70 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933e4ae048190be51a02c571fab8b |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:27 p.m.