Triple
T11797399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Layton |
E280534
|
entity |
| Predicate | officeStartTime (Leader of the NDP) |
P101631
|
FINISHED |
| Object | 2003-01-25 |
—
|
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: 2003-01-25 | Statement: [Jack Layton, officeStartTime (Leader of the NDP), 2003-01-25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Leader of the NDP) Context triple: [Jack Layton, officeStartTime (Leader of the NDP), 2003-01-25]
-
A.
officeStartTime (Leader of Fianna Fáil)
Indicates the date and time at which the person’s term as Leader of Fianna Fáil officially began.
-
B.
officeStartTime (Prime Minister of Australia)
Indicates the date and time at which the person began serving as Prime Minister of Australia.
-
C.
officeStartTime (U.S. Representative)
Indicates the time at which a U.S. Representative officially begins their term in office.
-
D.
officeStartTime (Premier of Victoria)
Indicates the time at which the Premier of Victoria officially begins their term in office.
-
E.
officeStartTime (House Republican Conference Chair)
Indicates the time at which the individual began serving in the role of House Republican Conference Chair.
- F. None of above. chosen
Provenance (4 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a1cda0819092d66a82fd882786 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:42 p.m.