Triple
T21900476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Sirena |
E540793
|
entity |
| Predicate | hologramsModeledOn |
P68217
|
FINISHED |
| Object | Cristóbal Rios |
—
|
NE NERFINISHED |
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: Cristóbal Rios | Statement: [La Sirena, hologramsModeledOn, Cristóbal Rios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hologramsModeledOn Context triple: [La Sirena, hologramsModeledOn, Cristóbal Rios]
-
A.
modeledWith
Indicates that something is represented, simulated, or described using a particular model, method, or modeling technique.
-
B.
modeledBy
chosen
Indicates that one entity serves as a model or representation of another, typically capturing its structure, behavior, or properties.
-
C.
hadModel
Indicates that an entity possessed, used, or was associated with a particular model (e.g., a product, design, or version) at some point in time.
-
D.
hasRealModel
Indicates that an abstract, theoretical, or simplified entity is associated with a corresponding concrete or physically instantiated model in the real world.
-
E.
hasAnimatedFigures
Indicates that something contains or features figures that are animated or capable of motion.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fca2bf88190b2a5b912aa102513 |
completed | April 28, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:07 p.m.