Triple
T12426805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Spartan |
E296918
|
entity |
| Predicate | frozenBy |
P14990
|
FINISHED |
| Object | cryogenic imprisonment system |
—
|
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: cryogenic imprisonment system | Statement: [John Spartan, frozenBy, cryogenic imprisonment system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frozenBy Context triple: [John Spartan, frozenBy, cryogenic imprisonment system]
-
A.
frozenFrom
Indicates that one entity has been preserved or immobilized by being frozen starting from another entity, source, or prior state.
-
B.
frozenIn
chosen
Indicates that one entity is immobilized or preserved in a solid, frozen state within or by another entity.
-
C.
freezesOver
Indicates that a liquid surface becomes solid due to low temperatures, typically forming a layer of ice over it.
-
D.
frozenInSeason
Indicates that something is preserved in a frozen state during a particular season or time period.
-
E.
heldFrom
Indicates that an entity is held, possessed, or occupied starting from a specified point in time.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.