Triple
T10756248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Ambassador to Iran |
E253702
|
entity |
| Predicate | lastHolderEndOfTenure |
P90799
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [United States Ambassador to Iran, lastHolderEndOfTenure, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastHolderEndOfTenure Context triple: [United States Ambassador to Iran, lastHolderEndOfTenure, 1980]
-
A.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
-
B.
termEndOfLastHolder
Indicates that something marks the end point of the term or tenure of the most recent previous holder of a role, position, or asset.
-
C.
lastHolder
Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
-
D.
lastOfficeholderEndDate
chosen
Indicates the date on which the most recent officeholder’s term in a given position or office ended.
-
E.
firstOfficeholderEnd
Indicates the point in time or event at which the tenure of the first officeholder in a given position or role comes to an end.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72e9e224c819099d16aba77322812 |
completed | April 9, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.