Triple
T22257818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danger Doom |
E550136
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Old School |
—
|
NE NERFINISHED |
How this triple was built (3 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: Old School | Statement: [Danger Doom, notableSong, Old School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old School Context triple: [Danger Doom, notableSong, Old School]
-
A.
Old School
Old School is a 2003 comedy film about three middle-aged men who start a fraternity near their old college, starring Will Ferrell, Luke Wilson, and Vince Vaughn.
-
B.
Old School
"Old School" is a coming-of-age novel by Tobias Wolff that follows a scholarship student at an elite 1960s prep school as he grapples with identity, ambition, and literary integrity.
-
C.
Old School
Old School is a humorous children's novel in the Diary of a Wimpy Kid series that follows Greg Heffley as he navigates life without modern technology during a town-wide "go old school" initiative.
-
D.
Old School
Old School is a poetry collection by contemporary American poet Mark Irwin, recognized for its lyrical style and reflective exploration of memory and experience.
-
E.
Old School
"Old School" is a track from 2Pac’s critically acclaimed 1995 album *Me Against the World*, reflecting on his formative years and the influence of earlier hip-hop culture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old School Target entity description: "Old School" is a hip-hop track by Danger Doom that nostalgically reflects on the early days of rap and pop culture, featuring MF DOOM's characteristic wordplay and references.
-
A.
Old School
"Old School" is a track from 2Pac’s critically acclaimed 1995 album *Me Against the World*, reflecting on his formative years and the influence of earlier hip-hop culture.
-
B.
Old School
"Old School" is a song featured on Colbie Caillat's album *The Malibu Sessions*, reflecting the record's laid-back, acoustic pop style.
-
C.
Old School
"Old School" is a coming-of-age novel by Tobias Wolff that follows a scholarship student at an elite 1960s prep school as he grapples with identity, ambition, and literary integrity.
-
D.
Old School
Old School is a poetry collection by contemporary American poet Mark Irwin, recognized for its lyrical style and reflective exploration of memory and experience.
-
E.
Old School
Old School is a humorous children's novel in the Diary of a Wimpy Kid series that follows Greg Heffley as he navigates life without modern technology during a town-wide "go old school" initiative.
- F. None of above. chosen
Provenance (2 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c3cf64819087e270a1f50e629e |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.