Triple
T13637393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Gluesenkamp Perez |
E325883
|
entity |
| Predicate | tookOfficeIn |
P14427
|
FINISHED |
| Object | January 2023 |
—
|
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: January 2023 | Statement: [Marie Gluesenkamp Perez, tookOfficeIn, January 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookOfficeIn Context triple: [Marie Gluesenkamp Perez, tookOfficeIn, January 2023]
-
A.
succeededToOfficeIn
Indicates that one entity assumed or took over an office or position previously held by another entity at a specified time or in a specified succession.
-
B.
cameToPowerIn
Indicates the time or context in which an entity assumed control, authority, or leadership over a group, organization, or territory.
-
C.
termOfOfficeInaugurated
Indicates the event or date on which an individual officially begins their term of office through an inauguration.
-
D.
positionInaugurated
Indicates that a person formally assumed a specific position or office at a particular point in time.
-
E.
positionInauguratedIn
chosen
Indicates that a person officially assumed a particular position or office at a specified time or event of inauguration.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.