Triple
T13843367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Pecho |
E332725
|
entity |
| Predicate | relativePositionOnProfile |
P23578
|
FINISHED |
| Object | forms the “chest” of the sleeping woman outline |
—
|
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: forms the “chest” of the sleeping woman outline | Statement: [El Pecho, relativePositionOnProfile, forms the “chest” of the sleeping woman outline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativePositionOnProfile Context triple: [El Pecho, relativePositionOnProfile, forms the “chest” of the sleeping woman outline]
-
A.
relativePosition
chosen
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
-
B.
socialPosition
Indicates the relative social status, rank, or standing one entity holds within a social hierarchy or structure in relation to others.
-
C.
relativePositioning
Indicates how one entity is spatially arranged or located in relation to another entity.
-
D.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
E.
positionOnMedia
Indicates the specific location or placement of one entity on or within a media surface or medium.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:13 p.m.