Triple
T29883741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notre Dame de Paris (Spanish cast version) |
E758952
|
entity |
| Predicate | hasTranslatedLyrics |
P75990
|
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: [Notre Dame de Paris (Spanish cast version), hasTranslatedLyrics, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTranslatedLyrics Context triple: [Notre Dame de Paris (Spanish cast version), hasTranslatedLyrics, yes]
-
A.
hasTranslated
chosen
Indicates that one entity has rendered the content of another entity from one language into a different language.
-
B.
hasBilingualLyrics
Indicates that the lyrics of a work are written or performed in two different languages.
-
C.
hasOfficialLyrics
Indicates that an entity (such as a song or musical work) has lyrics that are formally recognized or authorized as the official version.
-
D.
hasTranslatedFrom
Indicates that a work or text has been translated from a specified original language or source language.
-
E.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
- 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_69f2245de2f48190a481404896b56254 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: April 29, 2026, 5:59 p.m.