Triple
T6705577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherie Booth |
E152995
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Cherie Blair |
E127492
|
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: Cherie Blair | Statement: [Cherie Booth, alsoKnownAs, Cherie Blair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherie Blair Context triple: [Cherie Booth, alsoKnownAs, Cherie Blair]
-
A.
Cherie Blair
chosen
Cherie Blair is a British barrister and judge, known for her prominent legal career and for being the wife of former UK Prime Minister Tony Blair.
-
B.
Edwina Brown
Edwina Brown is a fictional character known as one of the Brown sisters in Enid Bagnold’s novel "National Velvet," set in the English countryside.
-
C.
Tessa Jowell
Tessa Jowell was a British Labour politician who served as Secretary of State for Culture, Media and Sport and played a key role in bringing the 2012 Olympic Games to London.
-
D.
Edwina Fulton
Edwina Fulton is a central comedic character in the 1952 film "Monkey Business," portrayed as the intelligent and devoted wife of absent-minded chemist Barnaby Fulton.
-
E.
Martha Lane Fox
Martha Lane Fox is a British entrepreneur, co-founder of Lastminute.com, and crossbench peer known for her leadership in digital inclusion and technology policy.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0ea8cfc819081affc73603c2cf3 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70088916881908dda568d3116216f |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:06 p.m.