Triple
T11329228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home |
E268298
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Matt Jones |
E671176
|
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: Matt Jones | Statement: [Home, voiceActor, Matt Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Jones Context triple: [Home, voiceActor, Matt Jones]
-
A.
Matt Jones
chosen
Matt Jones is an American actor and comedian best known for his roles in television series like "Breaking Bad" and for his extensive voice work in animated shows and video games.
-
B.
Matt Jones
Matt Jones is a British musician best known as a former member of the rock band Beady Eye, formed by ex-Oasis members.
-
C.
Mark Jones
Mark Jones is an actor known for his role in the film "From Hand to Mouth."
-
D.
Mark Jones
Mark Jones was an English footballer for Manchester United and England who died in the 1958 Munich air disaster.
-
E.
Jeff Jones
Jeff Jones was an influential American fantasy and comic book artist renowned for his atmospheric, painterly style and evocative cover illustrations.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58b4ec4ac81908d51e3815a054704 |
completed | April 20, 2026, 2:11 a.m. |
Created at: April 8, 2026, 9:32 p.m.