Triple
T35187643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susie Derkins |
E1016031
|
entity |
| Predicate | dislikesActivity |
P62730
|
FINISHED |
| Object | Calvin's gross-out jokes |
—
|
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: Calvin's gross-out jokes | Statement: [Susie Derkins, dislikesActivity, Calvin's gross-out jokes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dislikesActivity Context triple: [Susie Derkins, dislikesActivity, Calvin's gross-out jokes]
-
A.
dislikes
chosen
Indicates that one entity has a negative feeling or aversion toward another entity.
-
B.
disapprovedOf
Indicates that one entity holds a negative judgment or lack of approval toward another entity or that entity’s actions.
-
C.
disfavoured
Indicates that one entity holds a negative, unfavorable, or less preferred attitude or treatment toward another entity compared to alternatives.
-
D.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
-
E.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dc3776c8190bbd4702acd5a191e |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.