Triple
T13996519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boum Boum Boum |
E336711
|
entity |
| Predicate | albumVersionLanguage |
P77946
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Boum Boum Boum, albumVersionLanguage, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: albumVersionLanguage Context triple: [Boum Boum Boum, albumVersionLanguage, French]
-
A.
languageOfReleases
Indicates the language in which the releases associated with an entity are produced or published.
-
B.
languageOfAvailableEditions
chosen
Indicates the language in which the available editions of a work or resource are published.
-
C.
brandLanguageVariant
Indicates that one language variant of a brand is related to or derived from another language version of the same brand.
-
D.
officialLanguageVersion
Indicates that one language variant is the officially recognized form or version used for formal or administrative purposes in relation to another language or context.
-
E.
languageOfUSVersion
Indicates that one entity is the language used in the U.S. version of another entity (such as a work, product, or edition).
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb68ba88190bfaf10777d607bf3 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.