Triple
T28960820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Si Te Vas |
E731891
|
entity |
| Predicate | isSpanishTitleMeaning |
P22236
|
FINISHED |
| Object | If You Leave |
—
|
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: If You Leave | Statement: [Si Te Vas, isSpanishTitleMeaning, If You Leave]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpanishTitleMeaning Context triple: [Si Te Vas, isSpanishTitleMeaning, If You Leave]
-
A.
hasSpanishMeaning
Indicates that one entity serves as the Spanish-language meaning or translation of another entity.
-
B.
titleInSpanish
chosen
Indicates that one entity is the title of another entity expressed in the Spanish language.
-
C.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
D.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
E.
inspiredLatinTitleOf
Indicates that one entity served as the creative or conceptual inspiration for the Latin title of another entity.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65bc0c0a48190a5b911434d51d935 |
completed | May 2, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:50 a.m.