Triple
T15832729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Temer |
E383909
|
entity |
| Predicate | presidentOfChamberEnd |
P119816
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Michel Temer, presidentOfChamberEnd, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentOfChamberEnd Context triple: [Michel Temer, presidentOfChamberEnd, 2001]
-
A.
lastCommissionerOrPresident
Indicates that the subject is the most recent individual to have served as commissioner or president of the specified organization or body.
-
B.
endTime (Chair of Ways and Means)
Indicates the point in time at which a person's tenure as Chair of Ways and Means concludes.
-
C.
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.
-
D.
chamberOf
Indicates that one entity is a chamber, room, or enclosed space that is part of, contained within, or assigned to another entity.
-
E.
RNCChairEnd
Indicates that an individual’s tenure or role as chair of the Republican National Committee has concluded.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e653e388190a4696cdb22546715 |
completed | April 16, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e007647f908190adb178c68c7bb7cf |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:49 a.m.