Triple
T32017337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Rock |
E817578
|
entity |
| Predicate | termStartAsAmbassadorToTheUN |
P176047
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Allan Rock, termStartAsAmbassadorToTheUN, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsAmbassadorToTheUN Context triple: [Allan Rock, termStartAsAmbassadorToTheUN, 2004]
-
A.
termEndAsAmbassadorToTheUN
Indicates that a person’s service in the role of ambassador to the United Nations has concluded at a specified time.
-
B.
termStartAsUNDeputySecretaryGeneral
Indicates that an individual began serving in the role of United Nations Deputy Secretary-General at a specified time.
-
C.
termStartAsUNGAPresident
Indicates that an individual begins their term of office serving as President of the United Nations General Assembly.
-
D.
termStartAsUnderSecretaryOfStateForForeignAffairs
Indicates the date or period when someone began serving as Under Secretary of State for Foreign Affairs.
-
E.
termStartAsAssistantSecretaryOfStateForAfricanAffairs
Indicates the date or point in time when someone began serving as the Assistant Secretary of State for African Affairs.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: May 1, 2026, 12:16 a.m.