Triple
T7834146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yerrapragada |
E181647
|
entity |
| Predicate | hasPenName |
P3799
|
FINISHED |
| Object | Erra |
E181647
|
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: Erra | Statement: [Yerrapragada, hasPenName, Erra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erra Context triple: [Yerrapragada, hasPenName, Erra]
-
A.
Erra
chosen
Erra is the pen name of Yerrapragada, a prominent medieval Telugu poet and scholar renowned for his contributions to classical Telugu literature.
-
B.
Ennesi
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
-
C.
Yoldia
Yoldia is a genus of marine bivalve mollusks known for their elongated shells and burrowing lifestyle in cold and temperate seas.
-
D.
Serabi
Serabi is a traditional Indonesian pancake-like cake made from rice flour and coconut milk, often served with sweet toppings or syrup.
-
E.
Yaghuth
Yaghuth is a pre-Islamic Arabian deity, traditionally regarded as one of the ancient gods worshipped by Arab tribes before the advent of Islam.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064a47648190af2ca2b336584a92 |
completed | March 30, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a9b7bb081909d6aa066ee064093 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:45 p.m.