Triple
T1083344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pāṇini |
E23996
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Panini
Panini is an ancient Indian grammarian renowned for composing the Ashtadhyayi, a foundational and highly systematic treatise on Sanskrit grammar.
|
E125197
|
NE FINISHED |
How this triple was built (4 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: [Pāṇini, name, Panini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panini Context triple: [Pāṇini, name, Panini]
-
A.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
B.
Rawlings
Rawlings is a prominent American sporting goods company best known for manufacturing baseball equipment, including the official baseballs used in Major League Baseball.
-
C.
Pinsker
Pinsker is a Jewish surname most notably associated with Leo Pinsker, a 19th-century physician and early Zionist activist.
-
D.
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.
-
E.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Panini Triple: [Pāṇini, name, Panini]
Generated description
Panini is an ancient Indian grammarian renowned for composing the Ashtadhyayi, a foundational and highly systematic treatise on Sanskrit grammar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Panini Target entity description: Panini is an ancient Indian grammarian renowned for composing the Ashtadhyayi, a foundational and highly systematic treatise on Sanskrit grammar.
-
A.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
B.
Rawlings
Rawlings is a prominent American sporting goods company best known for manufacturing baseball equipment, including the official baseballs used in Major League Baseball.
-
C.
Pinsker
Pinsker is a Jewish surname most notably associated with Leo Pinsker, a 19th-century physician and early Zionist activist.
-
D.
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.
-
E.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
- F. None of above. chosen
Provenance (5 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95e56948190a1e92367ad7240b7 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42affbac8190b6b16a1d726d0d35 |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac44a7a69c8190af5289f6e46d571a |
completed | March 7, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac451af1508190a55c037328b41931 |
completed | March 7, 2026, 3:32 p.m. |
Created at: March 1, 2026, 7:42 p.m.