Triple
T4968667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Carlucci |
E111587
|
entity |
| Predicate | endTimeAsAmbassadorToPortugal |
P61507
|
FINISHED |
| Object | 1978-01-01 |
—
|
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: 1978-01-01 | Statement: [Frank Carlucci, endTimeAsAmbassadorToPortugal, 1978-01-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeAsAmbassadorToPortugal Context triple: [Frank Carlucci, endTimeAsAmbassadorToPortugal, 1978-01-01]
-
A.
endTimeAsAmbassadorToJapan
Indicates the date and time when an individual's tenure or service as ambassador to Japan concludes.
-
B.
grantedToPortugal
Indicates that a right, privilege, territory, or other benefit has been formally conferred or assigned to Portugal.
-
C.
returnedToPortugal
Indicates that an entity went back to Portugal after having been away.
-
D.
endTime_UNAmbassador
Indicates the time at which a person’s tenure or role as a UN Ambassador concludes.
-
E.
limitedPortugalTo
Indicates that something is restricted in scope, effect, or applicability specifically to Portugal.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:32 p.m.