Triple
T30687374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Best Dressed List |
E781222
|
entity |
| Predicate | notableAwardedPerson |
P108897
|
FINISHED |
| Object | Jacqueline Kennedy Onassis |
E18377
|
NE 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: Jacqueline Kennedy Onassis | Statement: [International Best Dressed List, notableAwardedPerson, Jacqueline Kennedy Onassis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAwardedPerson Context triple: [International Best Dressed List, notableAwardedPerson, Jacqueline Kennedy Onassis]
-
A.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
-
B.
notableHolderAwardedTo
chosen
Indicates that a notable award or honor has been conferred upon a particular recipient.
-
C.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
D.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
E.
notableAwardWork
Indicates that a work is the specific creation (e.g., book, film, artwork) for which an award or honor was given.
- F. None of above.
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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28710bfc18819093af5e5a57e87218 |
completed | June 9, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:33 p.m.