Triple
T23446106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D.A. |
E565541
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Ernie Macmillan |
—
|
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: Ernie Macmillan | Statement: [D.A., hasMember, Ernie Macmillan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ernie Macmillan Context triple: [D.A., hasMember, Ernie Macmillan]
-
A.
Ernie Macmillan
chosen
Ernie Macmillan is a loyal and somewhat pompous Hufflepuff student at Hogwarts who becomes an active member of the resistance against Voldemort in the Harry Potter series.
-
B.
Gordon McIlwham
Gordon McIlwham is a former Scottish rugby union player, best known for his role as a prop and for representing Scotland at international level.
-
C.
Robert McMillan
Robert McMillan was a historical figure known as the original owner of the ship Balclutha, a notable sailing vessel from the late 19th century.
-
D.
Don MacMillan
Don MacMillan was a Canadian middle-distance runner known for his competitive performances in the 1950s, including appearances in high-profile mile races.
-
E.
Norm Maciver
Norm Maciver is a former Canadian professional ice hockey defenceman who played in the NHL and later served in various front-office and scouting roles.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64939e4819085862e7482e14879 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.