Triple
T32551861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accordion Crimes |
E831995
|
entity |
| Predicate | followsGenerations |
P71972
|
FINISHED |
| Object | multiple generations of immigrant families |
—
|
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: multiple generations of immigrant families | Statement: [Accordion Crimes, followsGenerations, multiple generations of immigrant families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsGenerations Context triple: [Accordion Crimes, followsGenerations, multiple generations of immigrant families]
-
A.
followsGenerationsOf
chosen
Indicates that one entity comes after and is separated from another by multiple generations in a lineage or succession.
-
B.
hasGenerations
Indicates a relationship where an entity is associated with one or more successive generational levels or cohorts derived from it.
-
C.
laterGenerationOf
Indicates that one entity belongs to a generation that comes chronologically after the generation of another entity.
-
D.
followsFamiliesFrom
Indicates that one entity continues, succeeds, or comes after the family or lineage associated with another entity.
-
E.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 1, 2026, 1:02 a.m.