Triple
T17765938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin McGuinness |
E443503
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Tony Blair |
—
|
NE NERFINISHED |
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: Tony Blair | Statement: [Martin McGuinness, workedWith, Tony Blair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Blair Context triple: [Martin McGuinness, workedWith, Tony Blair]
-
A.
Tony Blair
chosen
Tony Blair is a British politician who served as Prime Minister of the United Kingdom from 1997 to 2007 and was a leading architect of the UK’s intervention in the Iraq War.
-
B.
Gordon Brown
Gordon Brown is a British politician who served as Prime Minister of the United Kingdom from 2007 to 2010 and was previously a long-serving Chancellor of the Exchequer.
-
C.
John Prescott
John Prescott is a British Labour Party politician who served as Deputy Prime Minister of the United Kingdom from 1997 to 2007 under Tony Blair.
-
D.
Will Blair
Will Blair is a film composer best known for his atmospheric, tension-building scores for independent thrillers such as "Green Room."
-
E.
John Major
John Major is a British Conservative politician who served as Prime Minister of the United Kingdom from 1990 to 1997.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fc03e48190a8044e1b40f66f20 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.