Triple
T20820924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randal Keynes |
E512570
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Randal |
—
|
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: Randal | Statement: [Randal Keynes, givenName, Randal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randal Context triple: [Randal Keynes, givenName, Randal]
-
A.
Randal
chosen
Randal is the given first name of American politician and physician Rand Paul.
-
B.
Rowland
Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
-
C.
Rowland
Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
-
D.
Rowland
Rowland is a surname of English origin borne by various notable individuals across fields such as sports, science, and the arts.
-
E.
Rorick
Rorick is a surname most notably associated with American author Isabel Scott Rorick, known for her humorous "Mr. and Mrs. Cugat" stories.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f7a1548190b6ef3f1cfad37c1c |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.