Triple
T11132184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Taylor |
E263311
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Glen Taylor |
E263311
|
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: Glen Taylor | Statement: [Glen Taylor, name, Glen Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glen Taylor Context triple: [Glen Taylor, name, Glen Taylor]
-
A.
Glen Taylor
chosen
Glen Taylor is an American billionaire businessman and politician best known as the longtime owner of the NBA’s Minnesota Timberwolves and WNBA’s Minnesota Lynx.
-
B.
Mike Taylor
Mike Taylor is a songwriter best known for co-writing John Denver’s classic folk song "Rocky Mountain High."
-
C.
Mike Taylor
Mike Taylor is a film editor known for his work on the acclaimed British gangster film "The Long Good Friday."
-
D.
Glen Dawson
Glen Dawson was an American mountaineer and rock climber known for pioneering ascents in the Sierra Nevada during the early 20th century.
-
E.
Garry Leach
Garry Leach was a British comic book artist and inker best known for his influential work on characters like Marvelman (Miracleman) and his contributions to 1980s UK comics.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8347a248190837e8c26f25f553a |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e890bb9c81908c316a6423e650e6 |
completed | April 20, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:28 p.m.