Triple
T21610310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veda Pierce |
E533287
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Veda |
—
|
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: Veda | Statement: [Veda Pierce, givenName, Veda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veda Context triple: [Veda Pierce, givenName, Veda]
-
A.
Veda
Veda is a Turkish novel by Zülfü Livaneli that portrays the final days of the Ottoman Empire through the intertwined lives of its characters.
-
B.
Veda
Veda is a revered sage in the Mahabharata, appearing in the Paushya sub-parva as a significant spiritual figure.
-
C.
Veda
chosen
Veda is the foundational corpus of ancient sacred scriptures in Hinduism, comprising hymns, rituals, and philosophical teachings regarded as revealed knowledge.
-
D.
Vedam
Vedam is a 2010 Telugu-language anthology drama film acclaimed for its multi-strand narrative and Allu Arjun’s critically praised performance.
-
E.
Ṛgvidhāna
Ṛgvidhāna is an ancient Vedic ritual and interpretive text that prescribes the practical and ceremonial applications of hymns from the Ṛgveda.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e7d1388190922a90cb91ec9fc4 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:33 p.m.