Triple
T37584231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Men, season 2 |
E935053
|
entity |
| Predicate | hasOpeningCreditsTheme |
P56245
|
FINISHED |
| Object | "A Beautiful Mine" by RJD2 |
—
|
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: "A Beautiful Mine" by RJD2 | Statement: [Mad Men, season 2, hasOpeningCreditsTheme, "A Beautiful Mine" by RJD2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpeningCreditsTheme Context triple: [Mad Men, season 2, hasOpeningCreditsTheme, "A Beautiful Mine" by RJD2]
-
A.
hasOpeningCreditsUsage
chosen
Indicates that something is used or appears specifically in the opening credits of a work.
-
B.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
-
C.
hasOpeningScene
Indicates that a work (such as a film, show, or story) possesses a specific initial scene that begins or introduces its narrative.
-
D.
hasPrologueTheme
Indicates that a work’s prologue centers on, introduces, or is characterized by a particular thematic content or motif.
-
E.
hasOpeningThemeStyle
Indicates that an entity’s opening theme follows or is characterized by a particular musical or stylistic genre or format.
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 3, 2026, 4:17 p.m.