Triple
T29558235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dheena |
E749963
|
entity |
| Predicate | isCareerBreakthroughFor |
P54991
|
FINISHED |
| Object | A. R. Murugadoss |
—
|
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: A. R. Murugadoss | Statement: [Dheena, isCareerBreakthroughFor, A. R. Murugadoss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCareerBreakthroughFor Context triple: [Dheena, isCareerBreakthroughFor, A. R. Murugadoss]
-
A.
hasBreakthroughWork
chosen
Indicates that an entity has produced a significant, pioneering work that marks a major advance or turning point in its field or domain.
-
B.
isCareerBased
Indicates that something is determined, structured, or oriented around a person’s career or professional path.
-
C.
interruptedCareerBy
Indicates that an entity’s career was halted, delayed, or disrupted by another specified event or circumstance.
-
D.
breakthroughBy
Indicates that a significant discovery, innovation, or advance was achieved or brought about by a particular agent or entity.
-
E.
startedStandUpCareerIn
Indicates that an individual began their stand-up comedy career in a particular place or context.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66d1b59e481908e7a4676160788c0 |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:18 p.m.