Triple
T22217174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Parke Firestone |
E549104
|
entity |
| Predicate | hasNotableWardrobe |
P112750
|
FINISHED |
| Object | French haute couture |
—
|
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: French haute couture | Statement: [Elizabeth Parke Firestone, hasNotableWardrobe, French haute couture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableWardrobe Context triple: [Elizabeth Parke Firestone, hasNotableWardrobe, French haute couture]
-
A.
notableOutfit
Indicates that an entity is known for or associated with wearing a particular outfit or style of clothing.
-
B.
hasGarment
Indicates that one entity possesses, wears, or is associated with a particular garment.
-
C.
wardrobeFeature
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
D.
personHasNotableStyle
chosen
Indicates that a person is recognized for having a distinctive or noteworthy style.
-
E.
notWornWith
Indicates that one item is not worn at the same time as another item, implying mutual exclusivity in being worn together.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8c9d488190a59f571862997304 |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.