Triple
T15492730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Forbes |
E378735
|
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 Forbes, givenName, Ralph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Context triple: [Ralph Forbes, givenName, Ralph]
-
A.
Ralph
Ralph is a supporting character in the 1984 adventure-romance film "Romancing the Stone," known for his involvement in the story’s treasure-hunting escapades.
-
B.
Ralph
Ralph is the first name of legendary American NASCAR driver Dale Earnhardt.
-
C.
Ralph
Ralph is a surname of English origin that has been borne by various notable individuals across different fields.
-
D.
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.
-
E.
Ralph
Ralph is the central protagonist of the film "The Other Man," around whom the story’s primary conflict and emotional drama revolve.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3660fc6c81908caf1729260a8338 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:49 a.m.