Triple
T8818619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Campanella |
E209844
|
entity |
| Predicate | numberOfTimesAwardReceived_NL_MVP |
P71772
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Roy Campanella, numberOfTimesAwardReceived_NL_MVP, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAwardReceived_NL_MVP Context triple: [Roy Campanella, numberOfTimesAwardReceived_NL_MVP, 3]
-
A.
numberOfTimesMVP
Indicates the number of times an entity has been recognized as the Most Valuable Player (MVP).
-
B.
numberOfLeagueMVPawards
chosen
Indicates the count of times an entity has received the league’s Most Valuable Player (MVP) award.
-
C.
mvpDistinction
Indicates that an entity has been recognized with a Most Valuable Player (MVP) distinction or award in a given context or event.
-
D.
MVPReceives
Indicates that an entity designated as the MVP is the recipient of something (such as an award, recognition, or benefit) from another entity or event.
-
E.
MVPrecord
Indicates that an entity holds the record for having won the Most Valuable Player (MVP) award the greatest number of times (or in a notable record-setting manner).
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600e6e2881908934cbff0ab5d6fd |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.