Triple
T29721012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chanel suit |
E752053
|
entity |
| Predicate | hasNotableWearer |
P98502
|
FINISHED |
| Object | Jackie Kennedy |
—
|
NE NERFINISHED |
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: Jackie Kennedy | Statement: [Chanel suit, hasNotableWearer, Jackie Kennedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableWearer Context triple: [Chanel suit, hasNotableWearer, Jackie Kennedy]
-
A.
notWornBy
Indicates that a particular item or object is explicitly not being worn or used as clothing/accessory by a specified entity.
-
B.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
-
C.
notableWearers
chosen
Indicates that certain entities are especially well-known for wearing or having worn the specified item.
-
D.
wearerMayRetain
Indicates that the wearer is allowed to keep or continue possessing the item in question.
-
E.
hasIntendedWearer
Indicates that an item is associated with the person or entity it is meant or designed to be worn by.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
Created at: April 28, 2026, 7:36 p.m.