Triple
T19135979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulysses |
E468434
|
entity |
| Predicate | banStatusInUnitedStatesEndedYear |
P30927
|
FINISHED |
| Object | 1933 |
—
|
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: 1933 | Statement: [Ulysses, banStatusInUnitedStatesEndedYear, 1933]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: banStatusInUnitedStatesEndedYear Context triple: [Ulysses, banStatusInUnitedStatesEndedYear, 1933]
-
A.
banYear
Indicates the year in which a ban was enacted or came into effect on the related entity or activity.
-
B.
legalStatusAfterEndTime
Indicates the legal status or condition that applies to an entity after a specified end time has passed.
-
C.
legalStatusEnd
Indicates the point or event at which a previously valid legal status, condition, or arrangement ceases to be in effect.
-
D.
banPeriodEnd
chosen
Indicates the point in time when a ban or prohibition on an entity or action is scheduled to end.
-
E.
bannedInCountry
Indicates that something is officially prohibited or not allowed within the jurisdiction of a specified country.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ed0704819098be992297320cc9 |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.