Triple
T732037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfred Russel Wallace |
E14851
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Russel |
E6257
|
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: Russel | Statement: [Alfred Russel Wallace, middleName, Russel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russel Context triple: [Alfred Russel Wallace, middleName, Russel]
-
A.
Russell
chosen
Russell is a common English surname most famously associated with legendary Boston Celtics basketball player and civil rights activist Bill Russell.
-
B.
Rubin
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.
Ryle
Ryle is a surname most notably associated with Gilbert Ryle, a 20th-century British philosopher known for his critique of Cartesian dualism and the concept of the "ghost in the machine."
-
D.
Graham
Graham is the surname of Elizabeth Arden, the pioneering Canadian-American businesswoman who founded the iconic Elizabeth Arden cosmetics empire.
-
E.
Graham
Graham is a masculine given name of English origin, historically derived from a surname and commonly used in English-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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5d5a6b48190a2c81bfc3c6faa25 |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e3df8e48190905f89acbf7f3667 |
completed | March 3, 2026, 4:06 a.m. |
Created at: March 1, 2026, 7:37 p.m.