Triple
T34804201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Records |
E1003303
|
entity |
| Predicate | hasDocumentaryFilmAboutIt |
P98240
|
FINISHED |
| Object | All Things Must Pass: The Rise and Fall of Tower Records |
—
|
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: All Things Must Pass: The Rise and Fall of Tower Records | Statement: [Tower Records, hasDocumentaryFilmAboutIt, All Things Must Pass: The Rise and Fall of Tower Records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDocumentaryFilmAboutIt Context triple: [Tower Records, hasDocumentaryFilmAboutIt, All Things Must Pass: The Rise and Fall of Tower Records]
-
A.
hasDocumentaryAboutIt
chosen
Indicates that there exists a documentary film or program whose subject matter is focused on the referenced entity.
-
B.
hasDocumentaryType
Indicates that something is associated with or classified by a specific type or category of documentary.
-
C.
madeDocumentary
Indicates that one entity created or produced a documentary film or program about another entity.
-
D.
hasLiveActionFilm
Indicates that a subject has a corresponding live-action film adaptation or representation.
-
E.
hasOfficialFilm
Indicates that an entity has an officially recognized film associated with it.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 3:59 p.m.