Triple
T22660621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Bostaph |
E559650
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Systematic |
—
|
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: Systematic | Statement: [Paul Bostaph, associatedAct, Systematic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Systematic Context triple: [Paul Bostaph, associatedAct, Systematic]
-
A.
Systematic
chosen
Systematic is an American heavy metal band known for its early-2000s presence in the alternative and groove metal scenes.
-
B.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
C.
System 1
System 1 is the first version of Apple's classic Macintosh operating system, introducing the original graphical user interface and desktop metaphor for the Mac.
-
D.
The Systems Approach
The Systems Approach is a seminal work on systems engineering and complex problem-solving authored by engineer and technologist Simon Ramo.
-
E.
System 2
System 2 is an earlier version in a sequence of related systems that was later succeeded by System 3.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765edf88819086c28525e3c73758 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:07 p.m.