Triple
T33519083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flick |
E858450
|
entity |
| Predicate | hasExpressiveAssociation |
P151768
|
FINISHED |
| Object | playfulness |
—
|
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: playfulness | Statement: [Flick, hasExpressiveAssociation, playfulness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpressiveAssociation Context triple: [Flick, hasExpressiveAssociation, playfulness]
-
A.
hasExpressiveRole
Indicates that an entity serves a communicative or expressive function or role in relation to another entity or context.
-
B.
hasExpressiveCharacter
chosen
Indicates that something possesses a distinctive, emotionally or stylistically expressive quality or character.
-
C.
hasExpressivity
Indicates that one entity possesses a certain level or type of expressive power, capability, or richness in representation relative to another.
-
D.
isExpressiveCharacter
Indicates that a character displays emotions, intentions, or personality in a vivid, noticeable, and communicative way.
-
E.
moreExpressiveThan
Indicates that one entity conveys ideas, emotions, or information with greater richness, nuance, or clarity than another.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 1, 2026, 1:39 a.m.