Triple
T5183046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christianna Brand |
E116964
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Annabel Jones |
E173390
|
NE 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: Annabel Jones | Statement: [Christianna Brand, alsoKnownAs, Annabel Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annabel Jones Context triple: [Christianna Brand, alsoKnownAs, Annabel Jones]
-
A.
Annabel Jones
chosen
Annabel Jones is a Welsh television producer best known as the co-creator and executive producer of the acclaimed anthology series Black Mirror.
-
B.
Annabel Andrews
Annabel Andrews is the teenage protagonist of the 1976 body-swap comedy film "Freaky Friday," known for magically exchanging lives with her mother.
-
C.
Annabel Scholey
Annabel Scholey is an English actress known for her work in television, film, and theatre, including prominent roles in series such as "Being Human," "Medici," and "Britannia."
-
D.
Anne Ashmond
Anne Ashmond is a fictional character appearing in the film "Royal Wedding."
-
E.
Lucinda Ashby
Lucinda Ashby is an Episcopal bishop who leads the Diocese of El Camino Real in California.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799d50388190bf2b7dfdd90949e9 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefb2464081909ee9f05788ef5c30 |
completed | March 21, 2026, 7:21 p.m. |
Created at: March 20, 2026, 1:46 p.m.