Triple
T20144332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shavlik Randolph |
E491261
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Randolph |
—
|
NE NERFINISHED |
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: Randolph | Statement: [Shavlik Randolph, familyName, Randolph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randolph Context triple: [Shavlik Randolph, familyName, Randolph]
-
A.
Randolph
Randolph is a Native American caretaker and mentor figure who helps protect the orcas and guide the children in the family film "Free Willy 2: The Adventure Home."
-
B.
Randolph
Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
-
C.
Randolph
Randolph is a suburban town in eastern Massachusetts known for its residential communities and proximity to Boston.
-
D.
Randolph
Randolph is the given first name of the English writer and editor J. R. Ackerley, known for his memoirs and works on personal and social themes.
-
E.
Randolph
chosen
Randolph is a masculine given name of English origin that has been borne by various notable figures, including actors, politicians, and athletes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679d89688190ae88d81002d16d6e |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.