Triple
T21386415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Donaldson |
E527511
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Donaldson |
—
|
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: Mark Donaldson | Statement: [Mark Donaldson, name, Mark Donaldson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Donaldson Context triple: [Mark Donaldson, name, Mark Donaldson]
-
A.
Mark Donaldson
chosen
Mark Donaldson is an Australian soldier and war hero renowned for being the first person awarded the Victoria Cross for Australia for his gallantry in Afghanistan.
-
B.
Mark Dodson
Mark Dodson is an American voice actor best known for voicing Salacious B. Crumb and other characters in the Star Wars franchise, as well as roles in films like Gremlins.
-
C.
Mark Dodson
Mark Dodson is a record producer best known in heavy metal circles for his work with bands like Anthrax and Judas Priest.
-
D.
Michael Dodson
Michael Dodson is a British mathematician known for his contributions to number theory and Diophantine approximation.
-
E.
Scott McDaniel
Scott McDaniel is an American comic book artist best known for his dynamic work on major superhero titles for publishers like Marvel and DC Comics.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f3d37c8190b43ec77cdb1904c8 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.