Triple
T24857921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La secta del Fénix |
E622076
|
entity |
| Predicate | interpretaciónFrecuente |
P105284
|
FINISHED |
| Object | alegoría de la sexualidad |
—
|
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: alegoría de la sexualidad | Statement: [La secta del Fénix, interpretaciónFrecuente, alegoría de la sexualidad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interpretaciónFrecuente Context triple: [La secta del Fénix, interpretaciónFrecuente, alegoría de la sexualidad]
-
A.
frequentlyInterpretedBy
Indicates that an entity is often or regularly interpreted, explained, or given meaning by a particular agent or group.
-
B.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
C.
isFrequentlyInterpreted
chosen
Indicates that something is often understood, explained, or given meaning in a particular way or through repeated acts of interpretation.
-
D.
hasFanInterpretation
Indicates that there exists a fan-created interpretation, theory, or reading associated with the given entity or work.
-
E.
interpretationFacility
Indicates that an entity serves as a facility or venue where interpretation (such as language or translation services) is provided or supported.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:21 a.m.