Triple
T33102720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naomi Kirshenbaum |
E847098
|
entity |
| Predicate | timeOfImmigration |
P115351
|
FINISHED |
| Object | early 1940s (fictional timeline) |
—
|
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: early 1940s (fictional timeline) | Statement: [Naomi Kirshenbaum, timeOfImmigration, early 1940s (fictional timeline)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfImmigration Context triple: [Naomi Kirshenbaum, timeOfImmigration, early 1940s (fictional timeline)]
-
A.
immigratedOn
Indicates that an entity moved to and settled in a new country or region on a specific date.
-
B.
yearOfImmigration
Indicates the specific year in which an entity immigrated to a new country or region.
-
C.
timeOfMigration
chosen
Indicates the specific time or period during which a migration event occurs.
-
D.
immigratedDuring
Indicates that an entity moved to and settled in a new country or region during a specified time period.
-
E.
carriedFirstImmigrantProcessedAt
Indicates that a carrier (such as a ship or vehicle) transported the very first immigrant who was processed at a particular processing location 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 1, 2026, 1:26 a.m.