Triple
T25150001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magid Iqbal |
E630042
|
entity |
| Predicate | immigrantBackground |
P11122
|
FINISHED |
| Object | son of Bangladeshi immigrants |
—
|
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: son of Bangladeshi immigrants | Statement: [Magid Iqbal, immigrantBackground, son of Bangladeshi immigrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigrantBackground Context triple: [Magid Iqbal, immigrantBackground, son of Bangladeshi immigrants]
-
A.
immigrationBackground
chosen
Indicates that an entity has a personal or familial history of migration from another 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.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
D.
immigratedOn
Indicates that an entity moved to and settled in a new country or region on a specific date.
-
E.
immigrationReason
Indicates the reason or motivation behind an entity’s act of immigrating from one place to another.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46b824edc8190ab3780e1e344def6 |
completed | May 1, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:30 a.m.