Triple
T19508446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Alcorn |
E488086
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object | Ted Dabney |
—
|
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: Ted Dabney | Statement: [Al Alcorn, collaboratedWith, Ted Dabney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Dabney Context triple: [Al Alcorn, collaboratedWith, Ted Dabney]
-
A.
Ted Dabney
chosen
Ted Dabney was an American electrical engineer and co-founder of Atari who played a key role in the early development of the video game industry.
-
B.
Arthur Dorman
Arthur Dorman was a British industrialist best known as a co-founder of the major steel and engineering firm Dorman Long and Co Ltd, which played a significant role in bridge building and heavy industry.
-
C.
Arthur E. Bryson Jr.
Arthur E. Bryson Jr. is a pioneering control theorist and aerospace engineer often regarded as a founder of modern optimal control theory.
-
D.
Douglas Seale
Douglas Seale was a British actor and voice artist known for his character roles in film, television, and animation, including work with Disney.
-
E.
Robert Clohessy
Robert Clohessy is an American actor best known for his recurring roles on television dramas, including his portrayal of police officers on series such as Blue Bloods and Oz.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351426448190aec1ee26c09faa24 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.