Triple
T19355877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Envoy of the President of the United States |
E484142
|
entity |
| Predicate | canHoldRankOf |
P77881
|
FINISHED |
| Object | Ambassador |
—
|
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: Ambassador | Statement: [Special Envoy of the President of the United States, canHoldRankOf, Ambassador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canHoldRankOf Context triple: [Special Envoy of the President of the United States, canHoldRankOf, Ambassador]
-
A.
typicallyHoldsRank
Indicates that an entity is most commonly or usually associated with holding a particular rank or level in a hierarchy.
-
B.
canHold
Indicates that one entity has the capacity or ability to contain, support, or carry another entity.
-
C.
canAlsoHoldPosition
chosen
Indicates that an entity, in addition to its current role or position, is capable of occupying or being assigned another specified position.
-
D.
containsRank
Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
-
E.
canBeHeld
Indicates that an entity is capable of being physically grasped, supported, or carried by another entity.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61908920c8190833051e30ad2420c |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd13a8cc81909cd02668564c9f29 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.