Triple
T8030907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Goldacre |
E186974
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ben Goldacre |
E186974
|
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: Ben Goldacre | Statement: [Ben Goldacre, name, Ben Goldacre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Goldacre Context triple: [Ben Goldacre, name, Ben Goldacre]
-
A.
Ben Goldacre
chosen
Ben Goldacre is a British physician, academic, and science writer best known for his work critiquing bad science and promoting evidence-based medicine.
-
B.
Ian Stewart
Ian Stewart is a British Labour politician who became the inaugural directly elected mayor of the city of Salford.
-
C.
Ian Stewart
Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
-
D.
Ian M. Stewart
Ian M. Stewart is a television and live-event producer known for overseeing large-scale broadcast productions, including NBC’s musical specials.
-
E.
Michael Mosley
Michael Mosley is an American actor known for his roles in television series such as "Seven Seconds," "Ozark," and "Scrubs."
- 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_69ca82ae2d1081909dbfee42b41db419 |
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.