Triple
T28427842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henny Gurland |
E715037
|
entity |
| Predicate | emigratedWith |
P164716
|
FINISHED |
| Object | Erich Fromm |
—
|
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: Erich Fromm | Statement: [Henny Gurland, emigratedWith, Erich Fromm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emigratedWith Context triple: [Henny Gurland, emigratedWith, Erich Fromm]
-
A.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
B.
immigratedDuring
Indicates that an entity moved to and settled in a new country or region during a specified time period.
-
C.
hasSignificantEmigrationTo
Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
-
D.
immigratedOn
Indicates that an entity moved to and settled in a new country or region on a specific date.
-
E.
emigratedToState
Indicates that a person or group moved from their previous country or region to take up residence in a specified state.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:38 a.m.