Triple
T33057402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MICKEY 2.0 |
E845878
|
entity |
| Predicate | usesClockControl |
P193787
|
FINISHED |
| Object | irregular clocking |
—
|
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: irregular clocking | Statement: [MICKEY 2.0, usesClockControl, irregular clocking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesClockControl Context triple: [MICKEY 2.0, usesClockControl, irregular clocking]
-
A.
usesClockSystem
Indicates that one entity employs or operates according to the clock or timekeeping system defined or provided by another entity.
-
B.
hasClock
Indicates that one entity possesses, contains, or is equipped with a clock.
-
C.
hasClockInput
Indicates that an entity receives a clock signal from another entity as an input for timing or synchronization purposes.
-
D.
usesClockAdvance
Indicates that one entity performs an action or operates a process by advancing a clock or time reference forward.
-
E.
hasClockMaker
Indicates that an entity has, is associated with, or was created/maintained by a specific clock maker.
- F. None of above. chosen
Provenance (4 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
| PDg | Predicate description generation | batch_69fd553c01488190b9fda48b4a728f04 |
completed | May 8, 2026, 3:15 a.m. |
Created at: May 1, 2026, 1:25 a.m.