Triple
T9844816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuri Milner |
E239313
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Milner |
E172222
|
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: Milner | Statement: [Yuri Milner, familyName, Milner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milner Context triple: [Yuri Milner, familyName, Milner]
-
A.
Milner
chosen
Milner is an English surname borne by various notable figures in politics, academia, and the arts.
-
B.
Milner Gray
Milner Gray was a prominent British industrial designer and design consultant known for his influential role in shaping modern design practice in the mid-20th century.
-
C.
Lionel
Lionel is the given name of Baron Walter Rothschild, a prominent British banker, politician, and zoologist from the famous Rothschild family.
-
D.
Lionel
Lionel is the given name of Lionel Logue, the Australian speech therapist renowned for helping King George VI overcome his stammer.
-
E.
Lionel
Lionel is a masculine given name of Latin origin, commonly used in English- and French-speaking countries.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35dc29c819080203be5b904dc9d |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5dda4b0819092703270e87bee5a |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:33 p.m.