Triple
T15035234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polly |
E378461
|
entity |
| Predicate | BBCCharacterPage |
P116477
|
FINISHED |
| Object | https://www.bbc.co.uk/programmes/profiles/3pQf7bqVqVqJp7b7b7b/polly |
—
|
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: https://www.bbc.co.uk/programmes/profiles/3pQf7bqVqVqJp7b7b7b/polly | Statement: [Polly, BBCCharacterPage, https://www.bbc.co.uk/programmes/profiles/3pQf7bqVqVqJp7b7b7b/polly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BBCCharacterPage Context triple: [Polly, BBCCharacterPage, https://www.bbc.co.uk/programmes/profiles/3pQf7bqVqVqJp7b7b7b/polly]
-
A.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
B.
characterPerformer
Indicates that a performer portrays or voices a particular character in a work.
-
C.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
-
D.
associatedCharacters
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
-
E.
plotCharacter
Indicates a relationship where a character plays a role or participates in the narrative plot of a story or work.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82b29948190acda49cbec3f927a |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:59 a.m.