Triple
T8027474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Worm |
E186890
|
entity |
| Predicate | linkedToStyle |
P37510
|
FINISHED |
| Object | colorful hair |
—
|
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: colorful hair | Statement: [The Worm, linkedToStyle, colorful hair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToStyle Context triple: [The Worm, linkedToStyle, colorful hair]
-
A.
relatedStyle
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
-
B.
linkedByStructure
Indicates that two entities are connected or associated through a shared structural element, configuration, or framework.
-
C.
broughtStyleTo
Indicates that one entity introduced or contributed a particular style or aesthetic to another entity or context.
-
D.
linkedPosition
Indicates that one position is associated or connected to another position in a defined way.
-
E.
styledAs
chosen
Indicates that one entity is presented, formatted, or designed in the manner, appearance, or aesthetic of another entity.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eccacb0819082f7c3d6fd48e3c4 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.