Triple
T6103029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Nicki |
E136048
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Prince Nicki |
E136048
|
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: Prince Nicki | Statement: [Prince Nicki, hasTitle, Prince Nicki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince Nicki Context triple: [Prince Nicki, hasTitle, Prince Nicki]
-
A.
Prince Nicki
chosen
Prince Nicki is a fictional royal character appearing in the animated short film "The Wedding March."
-
B.
Nicki
Nicki is a professional basketball coach best known for her work in women's basketball, including in the WNBA and NCAA.
-
C.
Nicki Marron
Nicki Marron is a fictional character in the film "The Bodyguard," known as Rachel Marron's sister who becomes entangled in the dangers surrounding the singer's fame.
-
D.
Nicky
Nicky is a diminutive or nickname commonly used for the given name Nicholas.
-
E.
Nicky Nichols
Nicky Nichols is a sharp-tongued, witty, and recovering drug-addicted inmate featured prominently in the television series "Orange Is the New Black."
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254fbbf881908b7a3d07f0400387 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.