Triple
T23250121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil Nas X |
E581709
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Panini |
—
|
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: Panini | Statement: [Lil Nas X, notableWork, Panini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panini Context triple: [Lil Nas X, notableWork, Panini]
-
A.
Panini
chosen
"Panini" is a popular song by American rapper Lil Nas X, known for its catchy hook and genre-blending production.
-
B.
Panini
Panini is an ancient Indian grammarian renowned for composing the Ashtadhyayi, a foundational and highly systematic treatise on Sanskrit grammar.
-
C.
Panini
Panini is a pink rabbit-cat apprentice chef and one of the main characters in the animated television series "Chowder," known for her obsessive crush on the title character.
-
D.
Panini Group
Panini Group is an Italian publishing and collectibles company best known worldwide for its sticker albums, trading cards, and comic book publishing.
-
E.
Piatkus
Piatkus is a UK-based publishing imprint known for its commercial fiction and non-fiction titles, particularly in romance, crime, and personal development.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f5aa9081909775fb7f7dc660b3 |
completed | April 29, 2026, 5:15 a.m. |
Created at: April 17, 2026, 4:10 p.m.