Triple
T21969085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Armstrong Custer |
E542536
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Autie |
—
|
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: Autie | Statement: [George Armstrong Custer, nickname, Autie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autie Context triple: [George Armstrong Custer, nickname, Autie]
-
A.
Autie
chosen
Autie was the childhood nickname of George Armstrong Custer, the controversial U.S. Army officer and cavalry commander best known for his defeat and death at the Battle of the Little Bighorn.
-
B.
Attie
Attie is a Kwa language spoken primarily by the Attié people in Côte d'Ivoire.
-
C.
Ailette
The Ailette is a small river in northern France that flows through the Aisne department and feeds into the Aisne River.
-
D.
Abbie
Abbie is a central character in the film "20th Century Women," portrayed as a punk-influenced, free-spirited young woman who helps shape the coming-of-age journey of the teenage protagonist.
-
E.
Audie
Audie is the costumed mascot character who represents the Utica Comets professional ice hockey team at games and community events.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245d50d08190a4bf93139daa77eb |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:02 p.m.