Triple
T16246969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Miguel Cabrera Torres |
E394394
|
entity |
| Predicate | RBIcareer |
P71705
|
FINISHED |
| Object | 1800+ |
—
|
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: 1800+ | Statement: [José Miguel Cabrera Torres, RBIcareer, 1800+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RBIcareer Context triple: [José Miguel Cabrera Torres, RBIcareer, 1800+]
-
A.
RBIInCareer
Indicates the total number of runs batted in (RBIs) a player has accumulated over their entire career.
-
B.
RBIleader
Indicates that the subject is the leader or head of the Reserve Bank of India (RBI) in relation to the object.
-
C.
careerRBI
chosen
Indicates the total number of runs batted in (RBIs) a player has accumulated over their entire career.
-
D.
careerWalks
Indicates the total number of bases on balls (walks) a player has received over the course of their entire career.
-
E.
recruitingRanking
Indicates the relative standing or quality level assigned to an entity based on its effectiveness or success in recruiting participants, members, or talent.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245931074819096f38003da70f271 |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.