Triple
T31392016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plug Me In |
E800755
|
entity |
| Predicate | isIncludedInBoxSet |
P40815
|
FINISHED |
| Object | All Things Must Pass deluxe editions |
—
|
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 deluxe editions | Statement: [Plug Me In, isIncludedInBoxSet, All Things Must Pass deluxe editions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIncludedInBoxSet Context triple: [Plug Me In, isIncludedInBoxSet, All Things Must Pass deluxe editions]
-
A.
seriesIncludes
Indicates that a particular series contains or encompasses the referenced item as one of its constituent parts.
-
B.
hasQuantityInStandardSet
Indicates that an entity possesses a specified amount or count expressed according to a defined standard set or unit system.
-
C.
boardIncluded
Indicates that a particular board is part of, or contained within, a larger set, system, or structure.
-
D.
includedInEdition
chosen
Indicates that one item (such as a work, text, or component) is contained within or forms part of a particular edition.
-
E.
hasBoxArtPlatformLabel
Indicates that a box art image includes or is associated with a specific platform label (e.g., console or system branding).
- 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_69f224e9d7048190b0cc20f9071bd3e4 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:19 p.m.