Triple
T26758973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orgy Island |
E674745
|
entity |
| Predicate | hasNegativeConnotation |
P183094
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Orgy Island, hasNegativeConnotation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNegativeConnotation Context triple: [Orgy Island, hasNegativeConnotation, yes]
-
A.
hasConnotation
Indicates that one entity carries an implied or associated meaning, tone, or emotional nuance in relation to another entity.
-
B.
hasPositiveConnotation
Indicates that something is associated with favorable, pleasant, or approving meanings, feelings, or implications.
-
C.
negativeType
Indicates that one entity is classified as a negative, undesirable, or disfavored type in relation to another or within a given context.
-
D.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
-
E.
hasOppositeConnotationInModernUsage
Indicates that one concept or expression now carries a meaning or emotional tone in contemporary usage that is opposite to that of another.
- F. None of above. chosen
Provenance (4 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 27, 2026, 3:57 a.m.