Triple
T4817585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Donaldson |
E107625
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Donaldson |
E288653
|
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: Donaldson | Statement: [Jeffrey Donaldson, familyName, Donaldson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donaldson Context triple: [Jeffrey Donaldson, familyName, Donaldson]
-
A.
Donaldson
chosen
Donaldson is a surname of Scottish origin borne by various notable individuals, including athletes, politicians, and academics.
-
B.
Dodson
Dodson is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
C.
Dale
Dale is a rebuilt human city in northern Middle-earth, located near the Lonely Mountain, that serves as a key setting in J.R.R. Tolkien’s legendarium and its film adaptations.
-
D.
Dale
Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
-
E.
Neal Dodson
Neal Dodson is an American film producer known for his work on acclaimed independent and genre films, frequently collaborating with director J.C. Chandor.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c95b0ec8190a562541b0d7417cb |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4db8cb208190bda1d6df46391dfa |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.