Triple
T5652343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girls on the Bridge |
E124533
|
entity |
| Predicate | notableAuctionRecord |
P27019
|
FINISHED |
| Object | sold for over 50 million USD in 2016 |
—
|
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: sold for over 50 million USD in 2016 | Statement: [The Girls on the Bridge, notableAuctionRecord, sold for over 50 million USD in 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAuctionRecord Context triple: [The Girls on the Bridge, notableAuctionRecord, sold for over 50 million USD in 2016]
-
A.
auctionRecord
Indicates that there exists a documented record of an auction event involving the related entities.
-
B.
notableAsset
Indicates that an entity possesses or is associated with an asset that is particularly significant, prominent, or noteworthy in relation to it.
-
C.
soldRecordsEstimate
Indicates an approximate number of sales transactions or records associated with an entity.
-
D.
notableTransaction
chosen
Indicates that a transaction between entities is significant or noteworthy in context, such as being unusually large, important, or otherwise exceptional.
-
E.
auctioneer
Indicates that one entity serves as the auctioneer for another entity, typically conducting or managing an auction involving that entity.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d8a2588190b10de59edbc8841f |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.