Triple
T21423468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spellbreaker |
E528493
|
entity |
| Predicate | originalPublisherStatus |
P54520
|
FINISHED |
| Object | defunct company |
—
|
LITERAL FINISHED |
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: defunct company | Statement: [Spellbreaker, originalPublisherStatus, defunct company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPublisherStatus Context triple: [Spellbreaker, originalPublisherStatus, defunct company]
-
A.
originalPublisherType
Indicates the type or category of the entity that first published or released the content.
-
B.
publisherStatus
chosen
Indicates the current operational or business state of a publisher in relation to the referenced entity or system.
-
C.
originalLanguagePublisher
Indicates that a publisher is responsible for releasing a work in its original language, before or apart from any translations.
-
D.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
-
E.
initialPublicationStatus
Indicates the publication state an item was in at the time it was first released or made publicly available.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee8139ce848190b812d6d07f1bdef8 |
completed | April 26, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:48 p.m.