Triple
T20636967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randolph Clark |
E507108
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Randolph Clark |
—
|
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 Clark | Statement: [Randolph Clark, name, Randolph Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randolph Clark Context triple: [Randolph Clark, name, Randolph Clark]
-
A.
Randolph Clark
chosen
Randolph Clark was an American educator and co-founder of Texas Christian University, instrumental in shaping higher education in Texas in the late 19th century.
-
B.
Randolph Crawford
Randolph Crawford is a notable individual distinguished enough to be recognized as a prominent bearer of the Crawford surname.
-
C.
Higgins Clark
Higgins Clark is the surname of Mary Higgins Clark, a bestselling American author renowned for her suspense and mystery novels.
-
D.
Randolph Roberts
Randolph Roberts is an American actor best known for playing Chuck Cunningham on the television series "Happy Days."
-
E.
Richard Clark
Richard Clark is a British television director known for his work on popular series including episodes of Doctor Who.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad1089448190b936de6fd29c8350 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.