Triple
T7050591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turning of the Wheel of Dharma |
E163753
|
entity |
| Predicate | audienceMember |
P74744
|
FINISHED |
| Object |
Vashpa
Vashpa is a figure in early Buddhist tradition known as one of the disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
|
E639475
|
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: Vashpa | Statement: [Turning of the Wheel of Dharma, audienceMember, Vashpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vashpa Context triple: [Turning of the Wheel of Dharma, audienceMember, Vashpa]
-
A.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
B.
Aptoryama
Aptoryama is a specific Vedic soma sacrifice ritual recognized as a variant form of the Somayajna.
-
C.
Vasi-weri
Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
-
D.
Fumei
Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
-
E.
Vabis
Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
- 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: Vashpa Triple: [Turning of the Wheel of Dharma, audienceMember, Vashpa]
Generated description
Vashpa is a figure in early Buddhist tradition known as one of the disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vashpa Target entity description: Vashpa is a figure in early Buddhist tradition known as one of the disciples present at the Buddha’s first sermon, the Turning of the Wheel of Dharma.
-
A.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
B.
Aptoryama
Aptoryama is a specific Vedic soma sacrifice ritual recognized as a variant form of the Somayajna.
-
C.
Vasi-weri
Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
-
D.
Fumei
Fumei is a given name most notably borne by Mao Fumei, the first wife of Chinese leader Chiang Kai-shek.
-
E.
Vabis
Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e77415e88190ab65137382f1b155 |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7888bba9c8190b6414b56e5588ec0 |
completed | March 28, 2026, 7:51 a.m. |
| NEDg | Description generation | batch_69c788f292a08190bf3543ecfc245d12 |
completed | March 28, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c789a6ea988190ad2db2442f0a5e8f |
completed | March 28, 2026, 7:56 a.m. |
Created at: March 27, 2026, 2:37 p.m.