Triple
T24926760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Rosalee Corbin |
E618878
|
entity |
| Predicate | lawsuitDefendantOfficeHeld |
P99264
|
FINISHED |
| Object | President of the United States |
—
|
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: President of the United States | Statement: [Paula Rosalee Corbin, lawsuitDefendantOfficeHeld, President of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawsuitDefendantOfficeHeld Context triple: [Paula Rosalee Corbin, lawsuitDefendantOfficeHeld, President of the United States]
-
A.
defendantLocation
Indicates the place or jurisdiction where the defendant is located or resides in relation to a legal matter.
-
B.
defendantAffiliation
Indicates that a defendant is formally associated or connected with a particular organization, group, or entity.
-
C.
representedInCourtBy
Indicates that one party serves as the legal representative or attorney for another party in a court proceeding.
-
D.
defendantProfession
chosen
Indicates the professional occupation or job role held by the defendant in a legal case.
-
E.
defendant
Indicates that an entity is the party accused or sued in a legal action or proceeding.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:29 a.m.