Triple
T8582016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob MacKinnon |
E203203
|
entity |
| Predicate | leagueCoached |
P7104
|
FINISHED |
| Object | ABA |
E3272
|
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: ABA | Statement: [Bob MacKinnon, leagueCoached, ABA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABA Context triple: [Bob MacKinnon, leagueCoached, ABA]
-
A.
ABA
ABA is the commonly used acronym for the American Bar Association, the national professional organization for lawyers and the legal profession in the United States.
-
B.
ABA
ABA is the acronym for the Association for Black Anthropologists, a professional organization dedicated to advancing the interests, scholarship, and visibility of Black anthropologists and Black communities.
-
C.
ABA
chosen
The ABA (American Basketball Association) was a professional basketball league that operated in the United States from 1967 to 1976 and later merged with the NBA, known for its flashy style, three-point line, and red-white-and-blue basketball.
-
D.
ABL
ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
-
E.
ABL
ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1bbbd8819082670286a711826d |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89b6d7f081908eecf0dd901e6bef |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:22 p.m.