Triple
T1526097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan |
E32339
|
entity |
| Predicate | tribe |
P1915
|
FINISHED |
| Object | Panini |
E125197
|
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: Panini | Statement: [Pan, tribe, Panini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panini Context triple: [Pan, tribe, Panini]
-
A.
Panini
chosen
Panini is an ancient Indian grammarian renowned for composing the Ashtadhyayi, a foundational and highly systematic treatise on Sanskrit grammar.
-
B.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
C.
Rawlings
Rawlings is a prominent American sporting goods company best known for manufacturing baseball equipment, including the official baseballs used in Major League Baseball.
-
D.
Pinsker
Pinsker is a Jewish surname most notably associated with Leo Pinsker, a 19th-century physician and early Zionist activist.
-
E.
Bomis
Bomis was an early web portal and search engine company co-founded by Jimmy Wales that later played a key role in funding and incubating Wikipedia.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61f7bb60819094774ecc632255de |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2953c5308190984d20f62b7303fd |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:26 p.m.