Triple
T14779317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burny Mattinson |
E347349
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Burny Mattinson |
E347349
|
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: Burny Mattinson | Statement: [Burny Mattinson, nickname, Burny Mattinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burny Mattinson Context triple: [Burny Mattinson, nickname, Burny Mattinson]
-
A.
Burny Mattinson
chosen
Burny Mattinson was a veteran Walt Disney animator, director, and story artist whose decades-long career contributed to many classic Disney films.
-
B.
Robin Corbett
Robin Corbett was a British Labour Party politician who served as a Member of Parliament and was known for his work on civil liberties and prison reform.
-
C.
Wren Petersen
Wren Petersen is the central protagonist of the film "The Last Face," a humanitarian doctor navigating love and moral conflict amid the chaos of war-torn Africa.
-
D.
Gil Sharewood
Gil Sharewood is a character from the classic television anthology series The Twilight Zone, appearing in the episode "The Bewitchin’ Pool."
-
E.
Mica Burton
Mica Burton is an American actress, cosplayer, and on-camera host known for her work with Rooster Teeth and in the tabletop gaming and esports communities.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9c7cac8190ba900df95e42e318 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d00d46c8190b6289a9b8511a8fb |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.