Triple
T33201742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evano Oruvan |
E849917
|
entity |
| Predicate | hasOriginalLanguageLyrics |
P95610
|
FINISHED |
| Object | Tamil |
—
|
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: Tamil | Statement: [Evano Oruvan, hasOriginalLanguageLyrics, Tamil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalLanguageLyrics Context triple: [Evano Oruvan, hasOriginalLanguageLyrics, Tamil]
-
A.
hasOriginalLyricist
Indicates that an entity (such as a musical or song) is associated with the person who first wrote its lyrics.
-
B.
hasBilingualLyrics
Indicates that the lyrics of a work are written or performed in two different languages.
-
C.
originalLanguageOfSourceSong
chosen
Indicates that a given language is the original language in which a particular source song was created or first written.
-
D.
hasOriginalFrenchLyricists
Indicates that an entity (such as a work or song) is associated with the people who wrote its original lyrics in French.
-
E.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: May 1, 2026, 1:30 a.m.