Triple
T27021107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bree Davenport |
E680663
|
entity |
| Predicate | primaryPowerType |
P118971
|
FINISHED |
| Object | speed |
—
|
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: speed | Statement: [Bree Davenport, primaryPowerType, speed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPowerType Context triple: [Bree Davenport, primaryPowerType, speed]
-
A.
primaryPower
Indicates that one entity serves as the main or dominant source of power or energy for another entity.
-
B.
powersType
chosen
Indicates that one entity has a specific type or category of power or ability in relation to another entity.
-
C.
modeOfPower
Indicates the type or method of power or energy by which an entity operates or is driven.
-
D.
laterPowerType
Indicates that one entity represents a power type that occurs or is defined at a later stage or level relative to another power type.
-
E.
previousPowerType
Indicates that one entity’s power type immediately preceded another entity’s power type in a sequence or history.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 27, 2026, 7:08 a.m.