Triple
T37461711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forbidden Ritual |
E930933
|
entity |
| Predicate | relatedKeywordTheme |
P65488
|
FINISHED |
| Object | Tentacle |
—
|
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: Tentacle | Statement: [Forbidden Ritual, relatedKeywordTheme, Tentacle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedKeywordTheme Context triple: [Forbidden Ritual, relatedKeywordTheme, Tentacle]
-
A.
associatedKeyword
chosen
Indicates that one entity is linked to or characterized by a particular keyword used for identification, categorization, or retrieval.
-
B.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
C.
associatedThemeElements
Indicates a relationship where certain elements are linked to, or grouped under, a particular theme as its related components.
-
D.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
E.
hasThematicSimilarityTo
Indicates that two entities share related themes, topics, or conceptual content to a notable degree.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.