Triple
T16577240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blazers |
E402742
|
entity |
| Predicate | teamNickname |
P5076
|
FINISHED |
| Object | Blazers |
E424454
|
NE 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: Blazers | Statement: [Blazers, teamNickname, Blazers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blazers Context triple: [Blazers, teamNickname, Blazers]
-
A.
Blazers
Blazers is the nickname of the University of Alabama at Birmingham’s women’s basketball team, representing the school in NCAA competition.
-
B.
Blazers
The Blazers are the athletic teams representing Great Neck North High School in interscholastic sports and school spirit activities.
-
C.
Blazers
The Blazers are a sports team known by this nickname, supported by the fan group Gang Green.
-
D.
Blazers
Blazers is the nickname for the University of Alabama at Birmingham’s soccer teams, representing the school in collegiate athletic competition.
-
E.
Blazers
chosen
The Blazers are the athletic teams representing the University of Alabama at Birmingham, competing in various collegiate sports under this fiery moniker.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595dd90881909933216bd12505e1 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eecbb6c81908abc5659333a4879 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.