Triple
T345789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Nelson |
E6938
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ralph |
E40018
|
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: Ralph | Statement: [Ralph Nelson, givenName, Ralph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Context triple: [Ralph Nelson, givenName, Ralph]
-
A.
Ralph
chosen
Ralph is the given name of Ralph Waldo Emerson, the influential 19th-century American essayist, lecturer, philosopher, and central figure of the Transcendentalist movement.
-
B.
Ralph Stackpole
Ralph Stackpole was an American sculptor and painter associated with the San Francisco art scene, known for his public works and contributions to New Deal–era projects.
-
C.
Nathaniel
Nathaniel is a masculine given name of Hebrew origin meaning "gift of God," historically borne by various notable figures in literature, science, and religion.
-
D.
Kipps
Kipps is a 1905 social novel by H. G. Wells that follows the rise of a humble draper’s apprentice after an unexpected inheritance, exploring class mobility and Edwardian society.
-
E.
Wallace
Wallace is a common English and Scottish surname borne by numerous notable figures in politics, science, and the arts.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb0240e88190bc70784772f5fa30 |
completed | Feb. 28, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4034be57081908209a54a641a09f3 |
completed | March 1, 2026, 9:13 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.