Triple
T7764031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Strathearn |
E176098
|
entity |
| Predicate | partOfStyle |
P78559
|
FINISHED |
| Object | royal dignities of Catherine, Princess of Wales |
—
|
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: royal dignities of Catherine, Princess of Wales | Statement: [Countess of Strathearn, partOfStyle, royal dignities of Catherine, Princess of Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfStyle Context triple: [Countess of Strathearn, partOfStyle, royal dignities of Catherine, Princess of Wales]
-
A.
fashionCharacteristic
Indicates a relationship where one entity possesses or exhibits a particular style, trend, or fashion-related attribute in relation to another.
-
B.
styleInFull
Indicates that something is presented, written, or expressed in its complete, unabbreviated, or fully detailed form.
-
C.
styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
-
D.
bodyStyleCategory
Indicates the general body style classification or category that an item (such as a vehicle or product) belongs to.
-
E.
styleHeldBy
Indicates that a particular style, design, or aesthetic is possessed, used, or embodied by a specific entity.
- F. None of above. chosen
Provenance (4 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c70524c3948190a163dc5f4ecdffa7 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 4:09 p.m.