Triple
T31252727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Bowie as Pontius Pilate |
E796872
|
entity |
| Predicate | hairAndMakeupStyle |
P78811
|
FINISHED |
| Object | Roman-era styling for a provincial governor |
—
|
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: Roman-era styling for a provincial governor | Statement: [David Bowie as Pontius Pilate, hairAndMakeupStyle, Roman-era styling for a provincial governor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairAndMakeupStyle Context triple: [David Bowie as Pontius Pilate, hairAndMakeupStyle, Roman-era styling for a provincial governor]
-
A.
usesMakeupStyle
Indicates that one entity applies or adopts the makeup style or technique associated with another entity.
-
B.
styledCelebrity
Indicates that one entity (typically a stylist or source) is responsible for selecting or creating the fashion or appearance of a celebrity.
-
C.
makeupType
chosen
Indicates the specific kind or category of makeup associated with an entity.
-
D.
hairStyleInMedia
Indicates that a particular hairstyle is depicted or represented in a specific media work or context.
-
E.
hairSpecialty
Indicates a professional focus or expertise in working with a particular type, style, or treatment of hair.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:12 p.m.