Triple
T35925015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Illinois |
E1038994
|
entity |
| Predicate | isNotA |
P139114
|
FINISHED |
| Object | constitutionally defined office |
—
|
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: constitutionally defined office | Statement: [First Lady of Illinois, isNotA, constitutionally defined office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNotA Context triple: [First Lady of Illinois, isNotA, constitutionally defined office]
-
A.
isNotType
chosen
Indicates that one entity is explicitly not of a specified type or category in relation to another.
-
B.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
C.
isNotSynonymOf
Indicates that two terms or expressions do not share the same or sufficiently similar meaning and therefore are not synonyms of each other.
-
D.
isNotIndicatedFor
Indicates that a treatment, action, or option is not recommended or appropriate for a particular condition, situation, or entity.
-
E.
notStatus
Indicates that an entity does not have, is not in, or does not match a specified status or state.
- 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.