Triple
T27594822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Becca Balint |
E699866
|
entity |
| Predicate | father's occupation |
P2600
|
FINISHED |
| Object | Hungarian immigrant |
—
|
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: Hungarian immigrant | Statement: [Becca Balint, father's occupation, Hungarian immigrant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: father's occupation Context triple: [Becca Balint, father's occupation, Hungarian immigrant]
-
A.
fatherOccupation
chosen
Indicates the type of job or profession held by a person's father.
-
B.
roleInFatherWork
Indicates that one entity has a specific role or involvement in the work or professional activities of another entity identified as the father.
-
C.
parentOccupation
Indicates that one entity has an occupation which is the job or profession of the other entity’s parent.
-
D.
sonOccupation
Indicates that a specified occupation is the job or professional role held by a person's son.
-
E.
familyProfession
Indicates that a person’s profession is shared with or traditionally practiced within their family, reflecting an occupational lineage or family trade.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 2:06 p.m.