Triple
T17917484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James P. "Sulley" Sullivan |
E447969
|
entity |
| Predicate | laterUsesEnergySource |
P93282
|
FINISHED |
| Object | children's laughter |
—
|
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: children's laughter | Statement: [James P. "Sulley" Sullivan, laterUsesEnergySource, children's laughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterUsesEnergySource Context triple: [James P. "Sulley" Sullivan, laterUsesEnergySource, children's laughter]
-
A.
usesEnergyFrom
chosen
Indicates that one entity derives or consumes energy originating from another entity as its source.
-
B.
hasEnergyResource
Indicates that an entity possesses, controls, or is associated with a source of usable energy.
-
C.
usesEnergyConversion
Indicates that an entity performs or involves a process where one form of energy is transformed into another to achieve a function or outcome.
-
D.
usesPowerFor
Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
-
E.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30778fc81908b5b2e308fb158a5 |
completed | April 19, 2026, 9:40 a.m. |
| PD | Predicate disambiguation | batch_69e3d8ec2f6881909d7f54b878cbed37 |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:20 a.m.