Triple
T16617547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro Pierluisi |
E403732
|
entity |
| Predicate | officeEndTimeForPosition |
P123562
|
FINISHED |
| Object | Resident Commissioner of Puerto Rico:2017-01-03 |
—
|
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: Resident Commissioner of Puerto Rico:2017-01-03 | Statement: [Pedro Pierluisi, officeEndTimeForPosition, Resident Commissioner of Puerto Rico:2017-01-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTimeForPosition Context triple: [Pedro Pierluisi, officeEndTimeForPosition, Resident Commissioner of Puerto Rico:2017-01-03]
-
A.
officeEndTimeFor
Indicates the time at which an entity’s office hours or work period end for another specified entity.
-
B.
officeEndApproximate
Indicates that an office or term ended around an approximate date rather than on a precisely known day.
-
C.
officeEndTime (Assembly)
Indicates the time at which an Assembly member’s term of office or service concludes.
-
D.
officeEndTime (RNC Chair)
Indicates the time at which the RNC Chair’s term in office concludes.
-
E.
officeEndTime (United States Secretary of Health and Human Services)
Indicates the time at which a person's tenure as United States Secretary of Health and Human Services concludes.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754ac9dc8190965197024594742b |
completed | April 18, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:17 a.m.