Triple
T26332036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Ellie |
E662411
|
entity |
| Predicate | portrayerWorkDomain |
P174238
|
FINISHED |
| Object | British 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: British television | Statement: [Miss Ellie, portrayerWorkDomain, British television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayerWorkDomain Context triple: [Miss Ellie, portrayerWorkDomain, British television]
-
A.
portraysInWork
Indicates that one entity depicts, represents, or plays the role of another entity within a specific creative work.
-
B.
portfolioOf
Indicates that one entity is the collection of investments, works, or assets that are owned, managed, or represented by another entity.
-
C.
settingOfWorks
Indicates that a place or environment serves as the primary setting where the events or narratives of one or more works take place.
-
D.
workRepresented
Indicates that one entity is a representation (such as a depiction, adaptation, or portrayal) of another work.
-
E.
platformOfWorkAppearingIn
Indicates the platform or medium on which a given work is presented, published, or made available.
- F. None of above. chosen
Provenance (4 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_69ee812f32748190871d970c4e2a8ddf |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 26, 2026, 10:34 p.m.