Triple
T3451014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roku |
E72793
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Anthony Wood |
E384635
|
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: Anthony Wood | Statement: [Roku, founder, Anthony Wood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anthony Wood Context triple: [Roku, founder, Anthony Wood]
-
A.
Anthony Wood
chosen
Anthony Wood is a technology entrepreneur best known as the founder and CEO of Roku, a leading streaming media platform.
-
B.
Philip Woodruff
Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
-
C.
John Lyons
John Lyons is a film producer best known for his work on major Hollywood comedies, including the Austin Powers series.
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
Christopher Fairbank
Christopher Fairbank is a British character actor known for his distinctive features and roles in film and television, including appearances in productions such as "Auf Wiedersehen, Pet" and various Shakespearean adaptations.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba7465248190947f9096e230e1c4 |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4d1c7188190b0f98fdc51e6684a |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:16 p.m.