Triple
T25541783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7 Seconds |
E640191
|
entity |
| Predicate | hasVersesLanguageMix |
P105279
|
FINISHED |
| Object | English and 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: English and French | Statement: [7 Seconds, hasVersesLanguageMix, English and French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVersesLanguageMix Context triple: [7 Seconds, hasVersesLanguageMix, English and French]
-
A.
hasMultipleVerses
Indicates that something, typically a song, poem, or text, consists of more than one verse.
-
B.
hasVersesIn
Indicates that one entity (typically a text, chapter, or section) contains or is composed of verses found within another entity (such as a book, collection, or scripture).
-
C.
hasVersesBy
Indicates a relationship where a work, such as a song or poem, contains verses authored or written by a specific creator.
-
D.
hasVerseDivision
Indicates that a text or passage is organized into or associated with specific verse divisions.
-
E.
hasVocalLanguageMix
chosen
Indicates that an entity’s vocal communication combines multiple languages or language varieties within its speech.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 3:26 p.m.