Triple
T18066760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Browning |
E432314
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Browning |
—
|
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: Browning | Statement: [John Browning, familyName, Browning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Browning Context triple: [John Browning, familyName, Browning]
-
A.
Browning
chosen
Browning is an English surname most notably associated with figures such as poets Robert and Elizabeth Barrett Browning and military officer Frederick Browning.
-
B.
The Brocket Arms
The Brocket Arms is a historic country pub and inn located in the rural village of Ayot St Lawrence in Hertfordshire, England.
-
C.
Colt
Colt is one of the three young martial artist brothers in the "Three Ninjas" film series, known for his fiery temper and strong fighting skills.
-
D.
Brooke rifle
The Brooke rifle was a Confederate heavy rifled cannon used in coastal defenses and aboard warships during the American Civil War.
-
E.
Rim Fire
The Rim Fire was one of California’s largest and most destructive wildfires, burning vast areas near Yosemite National Park in 2013.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce97ce08190a2f8762ce545e091 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.