Triple
T22665452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premier League 2010–11 |
E559770
|
entity |
| Predicate | mostAssistsPlayer |
P109156
|
FINISHED |
| Object | Nani |
—
|
NE NERFINISHED |
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: Nani | Statement: [Premier League 2010–11, mostAssistsPlayer, Nani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nani Context triple: [Premier League 2010–11, mostAssistsPlayer, Nani]
-
A.
Nani
chosen
Nani is a Portuguese professional footballer best known as a dynamic winger who starred for Manchester United and the Portugal national team, winning multiple domestic titles and the UEFA Euro 2016.
-
B.
Ani Rai
Ani Rai was one of the children of Guru Hargobind, the sixth Sikh Guru and a prominent figure in Sikh history.
-
C.
Fairuza
Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
-
D.
Maiya
Maiya is a reverential term used in parts of India to address or invoke a mother goddess figure, particularly in Hindu devotional contexts.
-
E.
Nani and Nana
"Nani and Nana" is a well-known chutney music song recognized for its catchy rhythm and popularity within Indo-Caribbean musical culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781b3dbc8190a312843cf8c1bfc6 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:08 p.m.