Triple
T21996642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allen Eager |
E543221
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eager |
—
|
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: Eager | Statement: [Allen Eager, familyName, Eager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eager Context triple: [Allen Eager, familyName, Eager]
-
A.
Eager
chosen
Eager is a given name most notably associated with the American Revolutionary War officer and statesman John Eager Howard.
-
B.
Hurry
"Hurry" is a song by Teyana Taylor from her 2018 R&B album *K.T.S.E.*.
-
C.
Keener
Keener is a surname most prominently associated with American actress Catherine Keener, known for her acclaimed roles in independent and mainstream films.
-
D.
Diligente
Diligente was a French Navy frigate that took part in the early 19th-century naval actions surrounding the Battle of San Domingo.
-
E.
Hasten
Hasten is a district of the German city of Remscheid, known for its historic buildings and traditional Bergisches architecture.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12765fb0c81908f7b7acda065ee2f |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:19 p.m.