Triple
T24926763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Rosalee Corbin |
E618878
|
entity |
| Predicate | lawsuitSettlementYear |
P159393
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Paula Rosalee Corbin, lawsuitSettlementYear, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawsuitSettlementYear Context triple: [Paula Rosalee Corbin, lawsuitSettlementYear, 1998]
-
A.
treatySettlementYear
Indicates the year in which a treaty was formally settled or concluded.
-
B.
affirmedInYear
Indicates that a statement, decision, or status was formally confirmed or upheld in a specified year.
-
C.
disputeReferredYear
Indicates the year in which a dispute was formally referred to an authority, process, or forum for resolution.
-
D.
notableCaseYear
Indicates the year in which a particular case became notable or gained recognized significance.
-
E.
agreementYear
Indicates the calendar year in which an agreement between the related entities was made, signed, or came into effect.
- F. None of above. chosen
Provenance (4 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_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 18, 2026, 5:29 a.m.