Triple
T4283217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugenia Brin |
E97203
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brin |
E68037
|
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: Brin | Statement: [Eugenia Brin, familyName, Brin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brin Context triple: [Eugenia Brin, familyName, Brin]
-
A.
Brin
chosen
Brin is a surname most prominently associated with Sergey Brin, the co-founder of Google and a leading figure in the technology industry.
-
B.
Brion
Brion is a surname most notably associated with American musician, composer, and record producer Jon Brion.
-
C.
Brylin
Brylin is the surname of Sergei Brylin, a former Russian professional ice hockey player and three-time Stanley Cup champion with the New Jersey Devils.
-
D.
Redfield
Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
-
E.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503a84548190989a96d1a30d6ef7 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7bec1a88190bd36ed6d48e1c94e |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.