Triple
T2375095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Rubin |
E46178
|
entity |
| Predicate | familyName |
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: [Robert Rubin, familyName, Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rubin Context triple: [Robert Rubin, familyName, Rubin]
-
A.
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.
-
B.
Weiner
Weiner is a surname of Germanic origin borne by various notable individuals across fields such as business, politics, and entertainment.
-
C.
Willard
Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
-
D.
Barak
Barak is a biblical military leader in the Book of Judges who, alongside the prophetess Deborah, led Israel to victory over the Canaanite commander Sisera.
-
E.
Jones
Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc7935fe881909696a3ce27822db4 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8a8c2b88190a18dbf35d745958f |
completed | March 9, 2026, 11:02 a.m. |
Created at: March 4, 2026, 7:56 p.m.