Triple
T23919383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "(Si Si) Je Suis un Rock Star" |
E602173
|
entity |
| Predicate | containsSpanishPhrases |
P154366
|
FINISHED |
| Object | true |
—
|
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: true | Statement: ["(Si Si) Je Suis un Rock Star", containsSpanishPhrases, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSpanishPhrases Context triple: ["(Si Si) Je Suis un Rock Star", containsSpanishPhrases, true]
-
A.
hasSpanishMeaning
Indicates that one entity serves as the Spanish-language meaning or translation of another entity.
-
B.
hasSpanishLanguageVersion
Indicates that an entity has a corresponding version or representation available in the Spanish language.
-
C.
hasNameInSpanish
Indicates that an entity is associated with a specific name expressed in the Spanish language.
-
D.
hasSignificantSpanishInfluence
Indicates that one entity has been strongly shaped or notably affected by Spanish culture, language, practices, or presence.
-
E.
spanishVersionUsage
Indicates how and in what context the Spanish-language version of something is used.
- F. None of above. chosen
Provenance (4 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf1600248190b38cfc93afb22a73 |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:41 p.m.