Triple
T331445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calypso |
E6633
|
entity |
| Predicate | durationOfDetentionOfOdysseus |
P8398
|
FINISHED |
| Object | seven years |
—
|
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: seven years | Statement: [Calypso, durationOfDetentionOfOdysseus, seven years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationOfDetentionOfOdysseus Context triple: [Calypso, durationOfDetentionOfOdysseus, seven years]
-
A.
durationOfImprisonment
chosen
Indicates the length of time that an entity is or was held in imprisonment.
-
B.
imprisonedFor
Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
-
C.
detainedBy
Indicates that an entity is being held in custody or confinement by another entity, typically an authority or controlling party.
-
D.
setAdriftWith
Indicates that one entity causes another to be left floating or drifting without control or guidance, typically in a body of water or space.
-
E.
wasImprisonedIn
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eaafd1a48190a6d001af3c2a5318 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.