Triple
T34804668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opti-Grab |
E1003319
|
entity |
| Predicate | inUniverseLegalIssue |
P109186
|
FINISHED |
| Object | alleged to cause permanent eye damage |
—
|
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: alleged to cause permanent eye damage | Statement: [Opti-Grab, inUniverseLegalIssue, alleged to cause permanent eye damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseLegalIssue Context triple: [Opti-Grab, inUniverseLegalIssue, alleged to cause permanent eye damage]
-
A.
inUniverseLaw
Indicates that a rule, principle, or law exists and operates within the internal logic or fictional framework of a specific universe or setting.
-
B.
mainLegalIssue
Indicates the primary legal question or dispute that is central to a case or legal matter.
-
C.
hasLegalIssue
Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
-
D.
inUniverseIssue
chosen
Indicates that an issue, event, or problem occurs within the fictional universe or narrative world itself, rather than being about real-world or external production matters.
-
E.
legalMatters
Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 3:59 p.m.