Triple
T8558437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilaiyaraaja |
E202633
|
entity |
| Predicate | hasComposed |
P71329
|
FINISHED |
| Object | tens of thousands of songs |
—
|
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: tens of thousands of songs | Statement: [Ilaiyaraaja, hasComposed, tens of thousands of songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComposed Context triple: [Ilaiyaraaja, hasComposed, tens of thousands of songs]
-
A.
previouslyComposedOf
Indicates that something was formerly made up of or constituted by certain parts, elements, or members, but no longer is.
-
B.
composedFor
Indicates that a creative work (typically a piece of music) was specifically written or created for a particular person, group, event, or purpose.
-
C.
composedIn
Indicates that a creative work was written or musically composed within a particular place or during a specific time period.
-
D.
hasMade
chosen
Indicates that an entity has created, produced, or brought about another entity or outcome.
-
E.
hasFormed
Indicates that an entity has come together or been created into a particular structure, group, or configuration.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:20 p.m.