Triple
T11381662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monique Billings |
E269606
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Billings |
E45126
|
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: Billings | Statement: [Monique Billings, familyName, Billings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billings Context triple: [Monique Billings, familyName, Billings]
-
A.
Billings
Billings is a small rural municipality located on Manitoulin Island in Ontario, Canada.
-
B.
Billings
chosen
Billings is the largest city in the U.S. state of Montana and a major economic and cultural hub for the surrounding Mountain States region.
-
C.
Billings
Billings is the middle name of Henry Billings Brown, an American jurist who served as an Associate Justice of the U.S. Supreme Court in the late 19th and early 20th centuries.
-
D.
Bozeman
Bozeman is a rapidly growing city in southwestern Montana known for its outdoor recreation, proximity to Yellowstone National Park, and Montana State University.
-
E.
Missoula
Missoula is a vibrant city in western Montana known for its university, outdoor recreation, and cultural scene.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc331f188190a7f69f1aae53fb6b |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8201715c819090cbd7c1e3068bdd |
completed | April 27, 2026, 3:34 p.m. |
Created at: April 8, 2026, 9:34 p.m.