Triple
T33590828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La niña de tus ojos (excerpt) |
E860413
|
entity |
| Predicate | hasExcerptForm |
P64118
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [La niña de tus ojos (excerpt), hasExcerptForm, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExcerptForm Context triple: [La niña de tus ojos (excerpt), hasExcerptForm, yes]
-
A.
hasExcerpt
chosen
Indicates that one entity contains or is associated with a selected portion or extract taken from another entity.
-
B.
hasSingleExcerpt
Indicates that an entity is associated with exactly one specific excerpt or selected portion of content.
-
C.
hasExcerptsPublishedOn
Indicates that certain excerpts from a work or content have been published on a specified platform, medium, or outlet.
-
D.
hasExhibitFormat
Indicates the specific format or medium in which an exhibit is presented or made available.
-
E.
hasExhibitionForm
Indicates that something is presented, displayed, or organized in a particular exhibition format or mode.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 1, 2026, 1:40 a.m.