Triple
T17095169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hughes family |
E414827
|
entity |
| Predicate | spansNumberOfGenerations |
P77133
|
FINISHED |
| Object | multiple generations |
—
|
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 | Statement: [Hughes family, spansNumberOfGenerations, multiple generations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spansNumberOfGenerations Context triple: [Hughes family, spansNumberOfGenerations, multiple generations]
-
A.
hasGenerations
Indicates a relationship where an entity is associated with one or more successive generational levels or cohorts derived from it.
-
B.
lifetimeInGenerations
chosen
Indicates the number of successive generations over which something (e.g., an effect, trait, or validity) persists or remains applicable.
-
C.
followsGenerationsOf
Indicates that one entity comes after and is separated from another by multiple generations in a lineage or succession.
-
D.
denotesGeneration
Indicates that one entity originates, produces, or gives rise to another entity, establishing a generative or causal source-result relationship between them.
-
E.
numberOfSpans
Indicates the total count of distinct spans or segments associated with an entity or within a specified context.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfc9158819081689d3d594a1908 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.