Triple
T32053319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Rice |
E818546
|
entity |
| Predicate | suspensionLengthAfterVideo |
P173158
|
FINISHED |
| Object | indefinite |
—
|
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: indefinite | Statement: [Ray Rice, suspensionLengthAfterVideo, indefinite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suspensionLengthAfterVideo Context triple: [Ray Rice, suspensionLengthAfterVideo, indefinite]
-
A.
suspensionLengthGames
Indicates the number of games for which an entity (such as a player) is suspended.
-
B.
suspensionType
Indicates the specific kind or configuration of suspension system associated with an entity (e.g., a vehicle or structure).
-
C.
suspensionRear
Indicates that the relationship or action involves the rear suspension component or system of an object, typically a vehicle.
-
D.
suspensionDevice
Indicates a device or mechanism that supports, hangs, or suspends an object or structure, typically bearing its weight and maintaining its position.
-
E.
typicalSuspensionCharacteristic
Indicates that something has a suspension property or behavior that is considered standard or characteristic for its type or context.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4ed587c8190868dba58046328c9 |
completed | May 3, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b267b90c8190807208cadce5ae8d |
completed | May 3, 2026, 2:26 a.m. |
Created at: May 1, 2026, 12:21 a.m.