Triple
T678467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogi Berra |
E13128
|
entity |
| Predicate | presidentialMedalOfFreedomYear |
P2671
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Yogi Berra, presidentialMedalOfFreedomYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialMedalOfFreedomYear Context triple: [Yogi Berra, presidentialMedalOfFreedomYear, 2015]
-
A.
yearHonored
Indicates the specific year in which an entity received an honor, award, or formal recognition.
-
B.
APA_PresidencyYear
Indicates the specific year during which an individual held the presidency of the American Psychological Association.
-
C.
inaugurationYear
Indicates the calendar year in which an entity was formally inaugurated or officially brought into operation.
-
D.
awardReceivedYear
chosen
Indicates the specific year in which an entity received a particular award.
-
E.
yearOfPresidentialNomination
Indicates the specific year in which an individual was formally nominated as a presidential candidate.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04e17088190943d54977eb3f83a |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1d79608190a849ba9ffad2879d |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.