Triple
T10511607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candice |
E247927
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Candy |
E849439
|
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: Candy | Statement: [Candice, hasVariant, Candy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candy Context triple: [Candice, hasVariant, Candy]
-
A.
Candy
Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
-
B.
Candy
"Candy" is a 2012 pop single by British singer Robbie Williams, known for its catchy, upbeat melody and chart-topping success in several countries.
-
C.
Candy
Candy is a fictional character who appears in the setting known as Candy's Room.
-
D.
Candy
"Candy" is a 1999 pop song by American singer Mandy Moore that became her breakout hit and signature early single.
-
E.
Candy
chosen
Candy is a common feminine given name, often used as a diminutive of Candace or Candice.
- 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_69d8dcf65f808190993dbacde2df20eb |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 6, 2026, 12:27 p.m.