Triple
T35924989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Illinois |
E1038994
|
entity |
| Predicate | isSpouseOfOfficeHolder |
P37617
|
FINISHED |
| Object | Governor of Illinois |
—
|
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: Governor of Illinois | Statement: [First Lady of Illinois, isSpouseOfOfficeHolder, Governor of Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpouseOfOfficeHolder Context triple: [First Lady of Illinois, isSpouseOfOfficeHolder, Governor of Illinois]
-
A.
spouseLaterOffice
Indicates that one person’s spouse held a particular office or position at a later time than the person in question.
-
B.
spouseOffice
Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
-
C.
hasSpousePositionInFamily
Indicates that a person’s spouse holds a specific role or position within the family structure.
-
D.
spouseOfOfficeholderNumber
Indicates that one entity is the spouse of a specific officeholder identified by their ordinal number in holding a particular office.
-
E.
spouseOfOfficeHolderJurisdiction
chosen
Indicates that one person is the spouse of a public office holder, with the relationship specifically tied to the jurisdiction in which that office is held.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.