Triple
T11532717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Howland |
E273462
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ben Howland |
E273462
|
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: Ben Howland | Statement: [Ben Howland, name, Ben Howland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Howland Context triple: [Ben Howland, name, Ben Howland]
-
A.
Ben Howland
chosen
Ben Howland is an American college basketball coach best known for leading UCLA to three consecutive Final Four appearances in the mid-2000s.
-
B.
Ron Meyer
Ron Meyer is an American entertainment executive best known as the longtime president and co-founder of Creative Artists Agency and former vice chairman of NBCUniversal.
-
C.
Ed Cooley
Ed Cooley is an American college basketball coach known for revitalizing programs such as Providence before taking over the storied Georgetown Hoyas men's basketball team.
-
D.
Chip Diggins
Chip Diggins is a film producer best known for his work on the comedy-drama adaptation "A Walk in the Woods."
-
E.
Kelvin Sampson
Kelvin Sampson is an American college basketball coach best known for leading successful programs at schools like Oklahoma and the University of Houston.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839a2c7081909c285d1f6beb971c |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e68577f5ec8190a46687119d288a36 |
completed | April 20, 2026, 7:58 p.m. |
Created at: April 8, 2026, 9:37 p.m.