Triple
T27676459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levin Papantonio Rafferty |
E697790
|
entity |
| Predicate | sideInCivilCases |
P26870
|
FINISHED |
| Object | plaintiffs |
—
|
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: plaintiffs | Statement: [Levin Papantonio Rafferty, sideInCivilCases, plaintiffs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideInCivilCases Context triple: [Levin Papantonio Rafferty, sideInCivilCases, plaintiffs]
-
A.
sideRepresentingLaw
Indicates that one party in a legal matter is acting in a capacity that represents or advocates for the law or legal authority.
-
B.
legalCaseAlongside
Indicates that two or more legal cases are proceeding in parallel or in coordination, such that they are related or handled together in some aspect of the legal process.
-
C.
parallelCourt
Indicates that two legal proceedings or courts are operating at the same time on related or comparable matters, without one being hierarchically superior to the other.
-
D.
isWithinCivilJurisdiction
Indicates that one entity falls under the legal authority, control, or governance of a specified civil jurisdiction.
-
E.
partyTypePlaintiffs
chosen
Indicates the classification or category of the parties serving as plaintiffs in a legal action.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f635339e888190bd1e33a0af531a38 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:44 p.m.