Triple
T2028985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gordon Brown |
E44472
|
entity |
| Predicate | startTime (Chancellor of the Exchequer) |
P31340
|
FINISHED |
| Object | 1997-05-02 |
—
|
LITERAL 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: 1997-05-02 | Statement: [Gordon Brown, startTime (Chancellor of the Exchequer), 1997-05-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (Chancellor of the Exchequer) Context triple: [Gordon Brown, startTime (Chancellor of the Exchequer), 1997-05-02]
-
A.
termStartAsChancellorOfTheExchequer
chosen
Indicates the date or point in time when an individual begins serving in the role of Chancellor of the Exchequer.
-
B.
startTime (Minister to the UK)
Indicates the date and time at which the person began serving in the role of Minister to the UK.
-
C.
startTime (Leader of the Labour Party)
Indicates the point in time at which someone began serving as Leader of the Labour Party.
-
D.
startTime (U.S. Secretary of State)
Indicates the point in time when an individual began serving as U.S. Secretary of State.
-
E.
termEndAsChancellorOfTheExchequer
Indicates the time period during which an entity served in the role of Chancellor of the Exchequer, marking the end of that term in office.
- F. None of above.
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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9136f888190b0fd03530e9eda1e |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.