Triple
T35361834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planet Baab |
E1021506
|
entity |
| Predicate | hasTitleCharacterConnection |
P46756
|
FINISHED |
| Object | Scorch Supernova |
—
|
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: Scorch Supernova | Statement: [Planet Baab, hasTitleCharacterConnection, Scorch Supernova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleCharacterConnection Context triple: [Planet Baab, hasTitleCharacterConnection, Scorch Supernova]
-
A.
hasConnectionToTitle
Indicates that one entity is linked or associated with a specific title, role, or designation held or referenced by another entity.
-
B.
hasTitleCharacterRelation
chosen
Indicates a relationship where a title (such as a work or publication) is associated with or linked to a specific character appearing in it.
-
C.
hasTitleCharacterFrom
Indicates that a work has a title that includes or is derived from a specific character.
-
D.
hasTitleCharacterAction
Indicates that a work’s title explicitly references or is derived from an action performed by a character within that work.
-
E.
hasTitleCharacterInContext
Indicates that a particular character appears in the title of an entity when considered within a specific contextual setting or scope.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:03 p.m.