Triple
T14551990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Thatcher in The Crown |
E341439
|
entity |
| Predicate | hairStyleDepiction |
P95511
|
FINISHED |
| Object | characteristic bouffant hairstyle |
—
|
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: characteristic bouffant hairstyle | Statement: [Margaret Thatcher in The Crown, hairStyleDepiction, characteristic bouffant hairstyle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairStyleDepiction Context triple: [Margaret Thatcher in The Crown, hairStyleDepiction, characteristic bouffant hairstyle]
-
A.
hairStyleInMedia
chosen
Indicates that a particular hairstyle is depicted or represented in a specific media work or context.
-
B.
hairStyleForRole
Indicates that a particular hairstyle is designated or used for a specific role or character.
-
C.
hairAsSymbol
Indicates that hair functions as a symbolic element representing ideas, traits, or meanings beyond its literal physical presence.
-
D.
hairStyleInPSA
Indicates that an entity has a particular hairstyle as depicted in a specific public service announcement (PSA).
-
E.
hairType
Indicates the specific kind or category of hair an entity has, such as its texture, style, or structural type.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.