Triple
T4451839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buendía family |
E97624
|
entity |
| Predicate | linkedToMotif |
P33019
|
FINISHED |
| Object | prophetic manuscripts of Melquíades |
—
|
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: prophetic manuscripts of Melquíades | Statement: [Buendía family, linkedToMotif, prophetic manuscripts of Melquíades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToMotif Context triple: [Buendía family, linkedToMotif, prophetic manuscripts of Melquíades]
-
A.
usesMotifsFrom
Indicates that one entity incorporates or draws upon recurring themes, patterns, or elements that originate from another entity.
-
B.
featuresMotif
Indicates that something contains, incorporates, or prominently includes a particular recurring motif or pattern.
-
C.
sharesMotifsWith
chosen
Indicates that two entities contain or employ similar recurring themes, patterns, or symbolic elements.
-
D.
reverseMotif
Indicates that one motif is the reversed or inverted form of another motif in structure, order, or direction.
-
E.
openingMotifDescription
Indicates a description of the initial recurring musical or thematic idea that begins a work or section.
- 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.