Triple
T18570186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rahul Dravid |
E453853
|
entity |
| Predicate | internationalCareerEndYear |
P41366
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Rahul Dravid, internationalCareerEndYear, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalCareerEndYear Context triple: [Rahul Dravid, internationalCareerEndYear, 2012]
-
A.
studCareerStartYear
Indicates the calendar year in which a student's academic or educational career formally began.
-
B.
workYear
Indicates the specific year or span of years during which an entity (such as a person or organization) was engaged in work or employment.
-
C.
careerWalks
Indicates the total number of bases on balls (walks) a player has received over the course of their entire career.
-
D.
countryForInternationalCareer
Indicates the country in which an individual pursued or represented their international-level career (e.g., in sports, arts, or professional domains).
-
E.
endedInternationalCareer
chosen
Indicates that an entity has concluded or retired from participating in international-level activities or competitions.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b01331c8190bec3aba40358a843 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.