Triple
T7940309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Emmett Brown |
E184371
|
entity |
| Predicate | timeMachinePowerSource |
P8164
|
FINISHED |
| Object | plutonium |
—
|
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: plutonium | Statement: [Dr. Emmett Brown, timeMachinePowerSource, plutonium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeMachinePowerSource Context triple: [Dr. Emmett Brown, timeMachinePowerSource, plutonium]
-
A.
hasPowerSource
chosen
Indicates that an entity derives its operational energy or functionality from a specified power source.
-
B.
hasPowerSupplyType
Indicates that an entity is associated with a specific type or category of power supply it uses or requires.
-
C.
powerStatus
Indicates whether an entity is currently powered on, off, or in another defined power state.
-
D.
hasPowerRegulator
Indicates that an entity is equipped with or connected to a power regulator component that controls or stabilizes its electrical power.
-
E.
systemPower_hp
Indicates the amount of power, measured in horsepower, that a system produces or requires.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0ac8bc8190b4e4f79b15c316b3 |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:08 p.m.