Triple
T33402596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punk's Dead: SLC Punk 2 |
E855346
|
entity |
| Predicate | hasCultFilmPredecessor |
P194669
|
FINISHED |
| Object | SLC Punk! |
—
|
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: SLC Punk! | Statement: [Punk's Dead: SLC Punk 2, hasCultFilmPredecessor, SLC Punk!]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCultFilmPredecessor Context triple: [Punk's Dead: SLC Punk 2, hasCultFilmPredecessor, SLC Punk!]
-
A.
hasCultFilmStatus
Indicates that a film has achieved cult status, typically through a dedicated, passionate fanbase despite limited or non-mainstream popularity.
-
B.
hasCultPredecessor
Indicates that one cult, tradition, or religious practice is considered to be derived from, influenced by, or historically preceded by another cult.
-
C.
isPrequelTo
Indicates that one work or event occurs earlier in time and narratively sets up or leads into another work or event.
-
D.
hasPreviousFilmAdaptation
Indicates that a work has been adapted into a film before the current or referenced adaptation.
-
E.
hasShortFilmPrecursor
Indicates that a work is preceded by a short film that serves as an earlier or foundational version of it.
- F. None of above. chosen
Provenance (4 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
| PDg | Predicate description generation | batch_69fd7fd9be2881908a7f00e0e8822de8 |
completed | May 8, 2026, 6:16 a.m. |
Created at: May 1, 2026, 1:36 a.m.