Triple
T4451836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buendía family |
E97624
|
entity |
| Predicate | structuralRole |
P268
|
FINISHED |
| Object | multigenerational saga |
—
|
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: multigenerational saga | Statement: [Buendía family, structuralRole, multigenerational saga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structuralRole Context triple: [Buendía family, structuralRole, multigenerational saga]
-
A.
conceptualRole
Indicates the functional or semantic role that one concept plays in relation to another within a conceptual structure or system.
-
B.
specialRole
Indicates that an entity holds a distinctive or exceptional function, status, or responsibility in relation to another entity or context.
-
C.
role
chosen
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
D.
notationRole
Indicates a role or function that an entity plays specifically within a system of notation or symbolic representation.
-
E.
encodingRole
Indicates the role or function an entity has in the process of encoding information into a particular form or representation.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f3731c81909cc5a782b12ddd38 |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.