Triple
T32851583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juror 5 |
E840265
|
entity |
| Predicate | contributesExpertiseOn |
P87264
|
FINISHED |
| Object | use of a switchblade knife |
—
|
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: use of a switchblade knife | Statement: [Juror 5, contributesExpertiseOn, use of a switchblade knife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributesExpertiseOn Context triple: [Juror 5, contributesExpertiseOn, use of a switchblade knife]
-
A.
basedOnExpertiseOf
Indicates that something is determined, derived, or justified using the knowledge, skills, or judgment of a particular expert or group of experts.
-
B.
skilledIn
chosen
Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
-
C.
notableContributionField
Indicates the field or domain in which an entity has made a significant or noteworthy contribution.
-
D.
hasVisualExpertiseFrom
Indicates that an entity possesses visual expertise or skill that was acquired from another specified source or provider.
-
E.
consultsOn
Indicates that one entity provides expert advice, guidance, or professional input to another entity regarding a specific subject, project, or decision.
- 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_69f349412c78819084459850e11d29f7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: May 1, 2026, 1:17 a.m.