Triple
T20372898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Laswell |
E497114
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Material |
—
|
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: Material | Statement: [Bill Laswell, founded, Material]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Material Context triple: [Bill Laswell, founded, Material]
-
A.
Material
chosen
Material is an experimental New York-based band led by bassist Bill Laswell, known for its genre-blending fusion of funk, jazz, dub, and avant-garde music.
-
B.
Material II
Material II is a South African comedy film starring and co-written by comedian Riaad Moosa, serving as the sequel to his popular film Material.
-
C.
Material Thangz
"Material Thangz" is an R&B/funk song by The Deele, known for its smooth groove and mid-1980s urban contemporary sound.
-
D.
MTRL
MTRL is the station code for Gare Centrale, a major central railway station.
-
E.
Matter
Matter is an open, IP-based smart home connectivity standard designed to ensure secure, reliable interoperability between devices and ecosystems from different manufacturers.
- 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_69e0b4a4f9b081908a5a021919c21ccb |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678aad7b08190a710a75d6828b21e |
completed | April 20, 2026, 7:04 p.m. |
Created at: April 16, 2026, 11:27 a.m.