Triple
T33221418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trent Tucker Rule |
E850430
|
entity |
| Predicate | clockRequirement |
P176417
|
FINISHED |
| Object | at least 0.3 seconds to catch and shoot |
—
|
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: at least 0.3 seconds to catch and shoot | Statement: [Trent Tucker Rule, clockRequirement, at least 0.3 seconds to catch and shoot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clockRequirement Context triple: [Trent Tucker Rule, clockRequirement, at least 0.3 seconds to catch and shoot]
-
A.
clockInput
Indicates that one entity serves as a timing or clock signal input that controls or synchronizes the operation of another entity.
-
B.
clockType
Indicates the type or category of a clock associated with an entity (e.g., analog, digital, system clock, etc.).
-
C.
clockShows
Indicates that a clock displays or presents a particular time or temporal value.
-
D.
hasClock
Indicates that one entity possesses, contains, or is equipped with a clock.
-
E.
clockMechanism
Indicates that one entity functions as the internal mechanism or movement that drives the operation of a clock.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:30 a.m.