Triple
T27372341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L. B. Sullivan |
E690358
|
entity |
| Predicate | legalOutcomeAtTrialLevel |
P47971
|
FINISHED |
| Object | won judgment in Alabama state court |
—
|
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: won judgment in Alabama state court | Statement: [L. B. Sullivan, legalOutcomeAtTrialLevel, won judgment in Alabama state court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalOutcomeAtTrialLevel Context triple: [L. B. Sullivan, legalOutcomeAtTrialLevel, won judgment in Alabama state court]
-
A.
legalOutcome
Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
-
B.
outcomeOfTrial
chosen
Indicates that a particular result or verdict is produced as the consequence of a specific trial or legal proceeding.
-
C.
judgeInTrial
Indicates that an entity serves as the judicial authority presiding over and making legal determinations in a specific trial.
-
D.
trialHeld
Indicates that a formal legal proceeding or court trial has taken place regarding a particular case or dispute.
-
E.
legalConclusion
Indicates that a situation, set of facts, or argument leads to or supports a specific determination or outcome under the law.
- 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_69ef51ff826081909e42c8e2bfb97941 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 27, 2026, 12:19 p.m.