Triple
T7882283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notre Dame Fighting Irish men's ice hockey |
E183006
|
entity |
| Predicate | joinedBigTenHockey |
P11243
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Notre Dame Fighting Irish men's ice hockey, joinedBigTenHockey, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedBigTenHockey Context triple: [Notre Dame Fighting Irish men's ice hockey, joinedBigTenHockey, 2017]
-
A.
joinedBigTen
chosen
Indicates that an entity became a member of the Big Ten athletic conference at a particular point in time.
-
B.
joinedNHL
Indicates that an entity became a member of, or started playing in, the National Hockey League (NHL).
-
C.
joinedBig12
Indicates that an entity became a member of the Big 12 athletic conference.
-
D.
playedCollegeHockeyFor
Indicates that a person was a member of and competed for a particular college or university’s ice hockey team.
-
E.
joinedECACHockey
Indicates that an entity became a member of or started participating in ECAC hockey competition.
- 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_69ca828af6e48190a06ee7010d8f0e64 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39c14a188190a225ca3c7e515b0c |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:58 p.m.