Triple
T33653871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alban William Housego Phillips |
E862168
|
entity |
| Predicate | MONIACType |
P138024
|
FINISHED |
| Object | hydraulic analog computer |
—
|
LITERAL 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: hydraulic analog computer | Statement: [Alban William Housego Phillips, MONIACType, hydraulic analog computer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MONIACType Context triple: [Alban William Housego Phillips, MONIACType, hydraulic analog computer]
-
A.
machineType
chosen
Indicates the specific kind or category of machine associated with an entity.
-
B.
MACType
Indicates the type or category of a Medium Access Control (MAC) mechanism or protocol used in a communication system.
-
C.
computingModel
Indicates the computational framework, paradigm, or formal system used to perform or describe a computation.
-
D.
monetarySystemType
Indicates the type or classification of a monetary system associated with an entity.
-
E.
controlUnitType
Indicates the specific kind or category of control unit associated with or assigned to an entity.
- F. None of above.
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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:42 a.m.