Triple
T16536862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Rubin |
E401713
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Rubin |
E47058
|
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: Rubin | Statement: [Donald Rubin, hasFamilyName, Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubin Context triple: [Donald Rubin, hasFamilyName, Rubin]
-
A.
Rubin
Rubin was the radio call sign used by the Soviet crew of the ill-fated Soyuz 1 space mission.
-
B.
Rubin
chosen
Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
C.
A Ross
A Ross is the traditional battle cry associated with the Scottish Highland Clan Ross.
-
D.
Weiner
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
-
E.
John Rubinstein
John Rubinstein is an American actor and director best known for originating the title role in the Broadway musical "Pippin" and for his extensive work on stage, film, and television.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34558ec448190a6dcc15d62d1889c |
completed | April 18, 2026, 8:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006094dee481908757b84c10d0dc19 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:15 a.m.