Triple
T16188539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bogo |
E392872
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Blin |
E1119803
|
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: Blin | Statement: [Bogo, alsoKnownAs, Blin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blin Context triple: [Bogo, alsoKnownAs, Blin]
-
A.
Blin
chosen
Blin is a Cushitic language spoken primarily in Eritrea by the Bilen people.
-
B.
Blix
Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
-
C.
Blix
Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
-
D.
Bilu
Bilu was a pioneering Jewish movement of young idealists in the late 19th century who immigrated to Ottoman Palestine to establish agricultural settlements and promote Zionist ideals.
-
E.
Blust
Blust is a surname most notably associated with Robert Blust, an influential American linguist known for his extensive work on Austronesian languages.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d3a8e48190bdf29a633f4b0490 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0750f08190a2fce65124d8dcc0 |
completed | May 10, 2026, 3:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.