Triple
T16897786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achsah Bond |
E424352
|
entity |
| Predicate | spousePositionOrdinal |
P4764
|
FINISHED |
| Object | first 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: first governor of Illinois | Statement: [Achsah Bond, spousePositionOrdinal, first governor of Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spousePositionOrdinal Context triple: [Achsah Bond, spousePositionOrdinal, first governor of Illinois]
-
A.
spouseOrdinalNumberAsPresident
Indicates the numerical order in which a person’s spouse served as president (e.g., first, second, third).
-
B.
spouseOrder
chosen
Indicates the position or sequence of a person among multiple spouses in a marital relationship.
-
C.
spouseOffice
Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
-
D.
spouseOfRole
Indicates that one role is the spouse (husband, wife, or equivalent marital partner) of another role.
-
E.
spouseOccupation
Indicates that one person’s spouse has a particular job, profession, or occupation.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8d98c308190bcc0adc7797d1f40 |
completed | April 18, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.