Triple
T10047673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candice Swanepoel |
E207658
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Candice |
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: Candice | Statement: [Candice Swanepoel, givenName, Candice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candice Context triple: [Candice Swanepoel, givenName, Candice]
-
A.
Candice
chosen
Candice is a feminine given name commonly used in English-speaking countries, often associated with the meaning "clarity" or "purity."
-
B.
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.
-
C.
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.
-
D.
Danielle
"Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
-
E.
Danielle
Danielle is the young prodigy and central superheroine of the novel "Chronicles of a Superheroine," known for using her intelligence and creativity to tackle global challenges.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf664dd881908786fcd802bf10da |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2828f3980819083d041f09e63d8e6 |
completed | April 5, 2026, 3:41 p.m. |
Created at: March 30, 2026, 8:56 p.m.