Triple
T28203421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theme music for Mr. Bean |
E716949
|
entity |
| Predicate | closingThemeOf |
P28461
|
FINISHED |
| Object | Mr. Bean (TV series) |
—
|
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: Mr. Bean (TV series) | Statement: [Theme music for Mr. Bean, closingThemeOf, Mr. Bean (TV series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingThemeOf Context triple: [Theme music for Mr. Bean, closingThemeOf, Mr. Bean (TV series)]
-
A.
closingTheme
chosen
Indicates that one entity serves as the ending or closing theme (such as a song or musical piece) associated with another entity, typically a media work or episode.
-
B.
closingTopic
Indicates that one entity brings a discussion, issue, or conversational thread to an end or final resolution.
-
C.
closingSection
Indicates that one entity serves as the concluding or final section of another entity (such as a document, event, or structured sequence).
-
D.
closingMotif
Indicates a recurring element, theme, or pattern that appears at the end of a work or segment, signaling closure or conclusion.
-
E.
closingSituation
Indicates a situation or context in which an interaction, event, or process is coming to an end or being brought to a close.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6430c4510819089589fec7d1a01e6 |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:33 p.m.