Triple
T11863758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim McDaniels |
E282229
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | McDaniels |
E642352
|
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: McDaniels | Statement: [Jim McDaniels, familyName, McDaniels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McDaniels Context triple: [Jim McDaniels, familyName, McDaniels]
-
A.
McDaniels
chosen
McDaniels is a surname most notably associated with American professional basketball players, including Jalen McDaniels.
-
B.
McDaniel
McDaniel is the surname of Hattie McDaniel, the pioneering American actress and singer who became the first African American to win an Academy Award.
-
C.
Daniels
Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
D.
MacNelly
MacNelly is the surname of Jeff MacNelly, the Pulitzer Prize–winning American editorial cartoonist and creator of the comic strip "Shoe."
-
E.
Drysdale
Drysdale is a surname most famously associated with Don Drysdale, a Hall of Fame Major League Baseball pitcher for the Los Angeles Dodgers.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73883508190a78b5f4ba4a220df |
completed | April 10, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281844c048190b5476343113f2436 |
completed | April 29, 2026, 10:09 p.m. |
Created at: April 8, 2026, 9:43 p.m.