Triple
T8030662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Fry |
E186969
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hannah Fry |
E186969
|
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: Hannah Fry | Statement: [Hannah Fry, name, Hannah Fry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Fry Context triple: [Hannah Fry, name, Hannah Fry]
-
A.
Hannah Fry
chosen
Hannah Fry is a British mathematician, author, and broadcaster known for popularizing mathematics and data science through books, documentaries, and public lectures.
-
B.
Carol Vorderman
Carol Vorderman is a British media personality and television presenter best known for co-hosting the game show "Countdown" for over two decades.
-
C.
Edwina Jean Vorderman
Edwina Jean Vorderman is the mother of British television presenter and former Countdown co-host Carol Vorderman.
-
D.
Maggie Antrobus
Maggie Antrobus is a central figure in Thornton Wilder’s play "The Skin of Our Teeth," representing the resilient, everywoman matriarch who endures and adapts through a series of apocalyptic crises.
-
E.
Denise Miller
Denise Miller is an American actress best known for her television work in the late 1970s and early 1980s, including prominent roles in sitcoms.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eef921081908d0ea21f142c175a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56e812dc81908916fc7163ae344a |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.