Triple
T24441013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kat |
E616261
|
entity |
| Predicate | portrayalHeightContext |
P93816
|
FINISHED |
| Object | tall |
—
|
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: tall | Statement: [Kat, portrayalHeightContext, tall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayalHeightContext Context triple: [Kat, portrayalHeightContext, tall]
-
A.
portrayedByCharacterHeightRelative
Indicates that one character’s height is depicted or described in relation to another character’s height.
-
B.
heightContext
chosen
Indicates a contextual or situational relationship that specifies how an entity’s height is defined, measured, or interpreted in a particular setting or frame of reference.
-
C.
portrayalFeature
Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
-
D.
depictionContext
Indicates the situational or environmental setting in which something is depicted or represented.
-
E.
portrayalStart
Indicates the point in time or sequence at which a particular portrayal or depiction of something begins.
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2978bb5a0819087ef151937923b0a |
completed | April 29, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:17 a.m.