Triple
T31106344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Museum |
E792801
|
entity |
| Predicate | connectedToEpisode |
P53537
|
FINISHED |
| Object | White Bear |
—
|
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: White Bear | Statement: [Black Museum, connectedToEpisode, White Bear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedToEpisode Context triple: [Black Museum, connectedToEpisode, White Bear]
-
A.
associatedEpisode
chosen
Indicates that one entity is linked or connected to a particular episode as its related or relevant installment.
-
B.
intendedEpisodes
Indicates that one entity is planned or designated to appear in, be used for, or be associated with specific episodes of another entity (such as a series or program).
-
C.
associatedWithEpisodeType
Indicates that something has a connection or linkage to a particular type or category of episode.
-
D.
hasEpisodeAbout
Indicates that a particular episode (such as of a show, podcast, or series) focuses on, discusses, or is centered around a specified subject or topic.
-
E.
followsEpisode
Indicates that one episode occurs directly after another in a sequence or series.
- 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_69f224cfd5d881908ec6447bc321cd58 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: April 29, 2026, 9:03 p.m.