Triple
T32192383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annabelle Streator |
E822290
|
entity |
| Predicate | characterOriginMedium |
P34184
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [Annabelle Streator, characterOriginMedium, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterOriginMedium Context triple: [Annabelle Streator, characterOriginMedium, television]
-
A.
characterOrigin
chosen
Indicates the source, background, or initial context from which a character originates.
-
B.
hasFictionalUniverseMedium
Indicates that a fictional universe is presented or expressed through a particular medium (such as a book, film, game, etc.).
-
C.
portrayedInFilmMedium
Indicates that an entity is depicted or represented within a film or cinematic work.
-
D.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
E.
characterDefinedBy
Indicates that one entity’s character, identity, or nature is determined, shaped, or specified by another entity.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 1, 2026, 12:35 a.m.