Triple
T7297083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Murphy |
E164550
|
entity |
| Predicate | termStartAsAmbassadorToGermany |
P17005
|
FINISHED |
| Object | 2009-08-21 |
—
|
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: 2009-08-21 | Statement: [Phil Murphy, termStartAsAmbassadorToGermany, 2009-08-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsAmbassadorToGermany Context triple: [Phil Murphy, termStartAsAmbassadorToGermany, 2009-08-21]
-
A.
ambassadorialTermStart
chosen
Indicates the date on which an ambassador’s official term in a particular diplomatic post begins.
-
B.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
C.
termStartAsDelegate
Indicates that an entity begins its role or service in a delegate capacity at a specified starting point or time.
-
D.
startTime (President of Germany)
Indicates the point in time at which a person’s term as President of Germany begins.
-
E.
termStartAsStateRepresentative
Indicates the date or event when an individual begins serving in office as a state representative.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8e48d48190ada4d507f3b61bc4 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.