Triple
T21687059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mom |
E535255
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Matt L. Jones |
—
|
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: Matt L. Jones | Statement: [Mom, castMember, Matt L. Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt L. Jones Context triple: [Mom, castMember, Matt L. 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.
Jon Bauman
Jon Bauman is an American musician and television personality best known for his role as "Bowzer" in the retro rock-and-roll group Sha Na Na.
-
D.
Mitch Rouse
Mitch Rouse is an American actor, comedian, and writer known for his work in film and television, including co-creating the series "Strangers with Candy" and appearing in numerous comedic roles.
-
E.
Matt Jenkins
Matt Jenkins is an American country music singer-songwriter known for his work in Nashville’s contemporary country scene.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cc31b8819086ca980521f94501 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.