Triple
T5908482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Osnos |
E131400
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Osnos |
E131400
|
NE FINISHED |
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: Osnos | Statement: [Evan Osnos, familyName, Osnos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osnos Context triple: [Evan Osnos, familyName, Osnos]
-
A.
Osnos
chosen
Osnos is a surname most notably associated with American journalist and author Peter Osnos and his family.
-
B.
Ogna
Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
-
C.
Interamna Nahars
Interamna Nahars is the ancient Roman name for the modern Italian city of Terni in Umbria.
-
D.
The Hydro
The Hydro is a major indoor arena in Glasgow, Scotland, renowned for hosting large-scale concerts and entertainment events.
-
E.
Moura
Moura is a small coal-mining town in Central Queensland, Australia, known for its agricultural activities and history of mining disasters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03773f4188190a11276b2d5baad08 |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c00e25f88190a5eb68ee234e4f6c |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:59 p.m.