Triple
T2758588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Fry |
E61163
|
entity |
| Predicate | twitterHandle |
P2866
|
FINISHED |
| Object | @stephenfry |
E61163
|
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: @stephenfry | Statement: [Stephen Fry, twitterHandle, @stephenfry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @stephenfry Context triple: [Stephen Fry, twitterHandle, @stephenfry]
-
A.
Stephen Fry
chosen
Stephen Fry is a British actor, comedian, writer, and broadcaster known for his work in television, film, literature, and radio, as well as his wit and public intellectual presence.
-
B.
Julian Fry
Julian Fry was the son of influential British art critic and painter Roger Fry, associated with the Bloomsbury Group.
-
C.
Jonathan Cavendish
Jonathan Cavendish is a British film producer best known for co-founding The Imaginarium Studios and producing acclaimed films such as "Bridget Jones’s Diary" and "Breathe."
-
D.
Danny Baker
Danny Baker is a British broadcaster and writer known for his eclectic radio shows, television presenting, and autobiographical books.
-
E.
Russell Brand
Russell Brand is an English comedian, actor, and author known for his flamboyant, fast-talking style and roles in films such as "Forgetting Sarah Marshall" and "Get Him to the Greek."
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8d34f88190a760111fe303cf24 |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbe2d9cc81909b041635ae793bc3 |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:57 p.m.