Triple
T9566019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakarla Tyagabrahmam |
E230789
|
entity |
| Predicate | approximateNumberOfCompositions |
P6223
|
FINISHED |
| Object | around 600 surviving compositions |
—
|
LITERAL 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: around 600 surviving compositions | Statement: [Kakarla Tyagabrahmam, approximateNumberOfCompositions, around 600 surviving compositions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfCompositions Context triple: [Kakarla Tyagabrahmam, approximateNumberOfCompositions, around 600 surviving compositions]
-
A.
numberOfSongs
Indicates the quantity of songs associated with a given entity.
-
B.
numberOfConcertosComposed
Indicates the total count of concertos that an entity has composed.
-
C.
approximateNumberOfPoems
Indicates an estimated or roughly calculated count of poems associated with an entity.
-
D.
hasApproximateNumberOfMusicians
Indicates that an entity is associated with an estimated or approximate count of musicians involved with it.
-
E.
numberOfWorksCreated
chosen
Indicates the total count of creative works that an entity has produced or authored.
- F. None of above.
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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:04 p.m.