Triple
T23119665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daryl Renard Atkins |
E576854
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Daryl |
—
|
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: Daryl | Statement: [Daryl Renard Atkins, givenName, Daryl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daryl Context triple: [Daryl Renard Atkins, givenName, Daryl]
-
A.
Daryl
chosen
Daryl is a given name commonly used for people of any gender, notably borne by figures in sports, entertainment, and public life.
-
B.
Daryl Harper
Daryl Harper is a former Australian international cricket umpire who officiated in numerous Test matches and One Day Internationals during the 1990s and 2000s.
-
C.
Darryl
Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
-
D.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
E.
Darrell
Darrell is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4ece5481908d05b4b1e6a07db3 |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.