Triple
T29499891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sivakumar |
E748336
|
entity |
| Predicate | hasGivenLecturesOn |
P168767
|
FINISHED |
| Object | Tamil literature |
—
|
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: Tamil literature | Statement: [Sivakumar, hasGivenLecturesOn, Tamil literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenLecturesOn Context triple: [Sivakumar, hasGivenLecturesOn, Tamil literature]
-
A.
gaveLecturesAt
Indicates that a person delivered lectures or taught courses at a particular institution or location.
-
B.
lecturesHeldIn
Indicates that a lecture event takes place or is conducted within a specific location or venue.
-
C.
yearLecturesDelivered
Indicates the specific year in which the lectures were delivered.
-
D.
hasLecturer
Indicates that an educational course, class, or module is taught or overseen by a specific lecturer.
-
E.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
- F. None of above. chosen
Provenance (4 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f67805551c81909e016ae9e3031076 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 28, 2026, 4:22 p.m.