Triple
T30616310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Torch |
E779324
|
entity |
| Predicate | canControlAmbientHeat |
P23545
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Human Torch, canControlAmbientHeat, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canControlAmbientHeat Context triple: [Human Torch, canControlAmbientHeat, true]
-
A.
thermalControl
chosen
Indicates a relationship where one entity regulates, adjusts, or maintains the temperature or thermal conditions of another entity or environment.
-
B.
climateControlFeature
Indicates that an entity includes or supports a function or system for regulating environmental conditions such as temperature, humidity, or airflow.
-
C.
temperatureControlMethod
Indicates the method or mechanism used to regulate or maintain a desired temperature.
-
D.
hasEnvironmentalControl
Indicates that one entity regulates, influences, or manages the environmental conditions affecting another entity or area.
-
E.
hasEnvironmentalControls
Indicates that one entity provides or is equipped with systems or mechanisms to regulate environmental conditions (such as temperature, humidity, or air quality) for another entity or space.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:26 p.m.