Triple
T25924433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juror #1 |
E653260
|
entity |
| Predicate | initialVote |
P100662
|
FINISHED |
| Object | guilty |
—
|
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: guilty | Statement: [Juror #1, initialVote, guilty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialVote Context triple: [Juror #1, initialVote, guilty]
-
A.
firstVoteFor
chosen
Indicates that the referenced vote is the earliest or initial vote cast by the specified entity for a particular option, candidate, or item.
-
B.
voted
Indicates that an entity formally expressed a choice or decision, typically in an election, poll, or decision-making process, regarding another entity or option.
-
C.
votingIs
Indicates that an entity is engaged in, characterized by, or involved in the act or process of voting.
-
D.
voteFor
Indicates that one entity casts or expresses a vote in favor of another entity or option.
-
E.
voteType
Indicates the specific category or kind of vote associated with an action or decision (e.g., upvote, downvote, approval, rejection).
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 8:35 a.m.