Triple
T10581083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gov’t Mule |
E249735
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Matt Abts |
E873018
|
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 Abts | Statement: [Gov’t Mule, associatedAct, Matt Abts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Abts Context triple: [Gov’t Mule, associatedAct, Matt Abts]
-
A.
Matt Abts
chosen
Matt Abts is an American rock drummer best known for his long-time role in the jam band Gov’t Mule and his powerful, groove-oriented playing style.
-
B.
Tod Andrews
Tod Andrews was an American film, television, and stage actor active in the mid-20th century, known for his character roles across a variety of popular series and movies.
-
C.
Dean Fleischer-Camp
Dean Fleischer-Camp is an American filmmaker and editor best known for co-creating the stop-motion character and film series "Marcel the Shell with Shoes On."
-
D.
Lee Zahler
Lee Zahler was an American film composer and musical director known for scoring numerous serials and B-movies during the 1930s and 1940s.
-
E.
Luke Metz
Luke Metz is a machine learning researcher known for his work on generative models and deep learning, often collaborating with Alec Radford.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5275b2424819093331b3777f12beb |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e78ad6c81909eaa0cdc41c5cc82 |
completed | April 10, 2026, 8:32 p.m. |
Created at: April 6, 2026, 12:38 p.m.