Triple
T22157749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darold Duane Knowles |
E547584
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Darold |
—
|
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: Darold | Statement: [Darold Duane Knowles, givenName, Darold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darold Context triple: [Darold Duane Knowles, givenName, Darold]
-
A.
Darold
chosen
Darold is a masculine given name, most notably borne by former Major League Baseball relief pitcher Darold Knowles.
-
B.
Jerold
Jerold is the full given first name of American college basketball coach Jay Wright.
-
C.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
D.
Darrell
Darrell is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
E.
Daron
Daron is a masculine given name, often used in English-speaking countries and sometimes associated with modern or creative name variants.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12a2aadb48190b4d739d1df9529db |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:33 p.m.