Triple
T23946439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Menil family |
E602924
|
entity |
| Predicate | immigratedDuring |
P154459
|
FINISHED |
| Object | World War II |
—
|
NE NERFINISHED |
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: World War II | Statement: [de Menil family, immigratedDuring, World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigratedDuring Context triple: [de Menil family, immigratedDuring, World War II]
-
A.
immigratedOn
Indicates that an entity moved to and settled in a new country or region on a specific date.
-
B.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
C.
yearOfImmigration
Indicates the specific year in which an entity immigrated to a new country or region.
-
D.
majorImmigrationPeriod
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
E.
numberOfImmigrantsProcessed
Indicates the total count of immigrants that have been processed in a given context or system.
- F. None of above. chosen
Provenance (4 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02ee0288190b58fd71b9cc65964 |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:15 p.m.