Triple
T3003130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darryl F. Zanuck |
E81835
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Darryl |
E81835
|
NE FINISHED |
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: Darryl | Statement: [Darryl F. Zanuck, givenName, Darryl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darryl Context triple: [Darryl F. Zanuck, givenName, Darryl]
-
A.
Darryl
chosen
Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
-
B.
Daryl
Daryl is a given name commonly used for people of any gender, notably borne by figures in sports, entertainment, and public life.
-
C.
Derrick
Derrick is the given name of Derrick Rose, an American professional basketball player and former NBA MVP.
-
D.
Daryl Jackson
Daryl Jackson is a prominent Australian architect known for designing major public and sporting facilities, including Melbourne’s Marvel Stadium.
-
E.
Darrell Johnson
Darrell Johnson was an American Major League Baseball manager and former catcher best known for leading the Boston Red Sox to the 1975 American League pennant.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a1371c481909e214234afed1a65 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8629c7c8190b597255ab8f391af |
completed | March 11, 2026, 11:18 p.m. |
Created at: March 8, 2026, 2:59 p.m.