Triple
T19986602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anup Kumar |
E493947
|
entity |
| Predicate | startedProfessionalCareer |
P89592
|
FINISHED |
| Object | with Central Reserve Police Force kabaddi team |
—
|
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: with Central Reserve Police Force kabaddi team | Statement: [Anup Kumar, startedProfessionalCareer, with Central Reserve Police Force kabaddi team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedProfessionalCareer Context triple: [Anup Kumar, startedProfessionalCareer, with Central Reserve Police Force kabaddi team]
-
A.
startedCareerWith
chosen
Indicates that an entity began its professional career associated with, employed by, or active for another specified entity.
-
B.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
C.
startedSoloCareer
Indicates that an individual began pursuing a professional career independently, separate from any previous group or collaborative affiliation.
-
D.
launchedCareerOf
Indicates that one entity’s actions, support, or involvement initiated or significantly advanced another entity’s professional career.
-
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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d16f60c81909ba02c0a3429ecae |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:29 p.m.