Triple
T19987936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Martin |
E493980
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Donald |
—
|
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: Donald | Statement: [Don Martin, givenName, Donald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Context triple: [Don Martin, givenName, Donald]
-
A.
Donald
Donald is a fictional character portrayed by American actor Matt Bomer, likely in a film or television production.
-
B.
Donald
Donald is the given first name of influential American jazz musician, arranger, and bandleader Don Redman.
-
C.
Donald
Donald is the given first name of Don Gordon, an American actor known for his supporting roles in film and television during the mid-20th century.
-
D.
Donald
Donald I of Scotland was a 9th-century king of the Picts who ruled over what is now Scotland.
-
E.
Donald
Donald is the given first name of American film producer Don Simpson, known for his work on blockbuster Hollywood movies in the 1980s and 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fdd1a5c8190af756632aac38bf4 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:30 p.m.