Triple
T22939263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milt Kuolt |
E569674
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Milt |
—
|
NE NERFINISHED |
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: Milt | Statement: [Milt Kuolt, hasGivenName, Milt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milt Context triple: [Milt Kuolt, hasGivenName, Milt]
-
A.
Milt
chosen
Milt is a masculine given name, typically used as a shortened form of Milton.
-
B.
Milt Kuolt
Milt Kuolt was an American entrepreneur best known as the founder of Horizon Air, a regional airline that became a major carrier in the Pacific Northwest.
-
C.
Milo Butler
Milo Butler was a prominent Bahamian politician and nationalist leader who became the country’s first Bahamian-born Governor-General after independence.
-
D.
Milt Franklyn
Milt Franklyn was an American composer and arranger best known for scoring numerous Warner Bros. Looney Tunes and Merrie Melodies cartoons in the mid-20th century.
-
E.
Milo Hamilton
Milo Hamilton was a renowned American sportscaster best known as a longtime Major League Baseball play-by-play announcer, particularly for the Houston Astros.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181378660819083239986c846ec17 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:45 p.m.