Triple
T14338741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillips |
E355534
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Christie’s |
E294308
|
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: Christie’s | Statement: [Phillips, competesWith, Christie’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christie’s Context triple: [Phillips, competesWith, Christie’s]
-
A.
Christie’s
chosen
Christie’s is a world-renowned British auction house specializing in fine art, antiques, and luxury collectibles.
-
B.
Sotheby’s
Sotheby’s is a world-renowned auction house specializing in the sale of fine art, rare collectibles, and other high-value assets.
-
C.
Bonhams
Bonhams is a renowned international auction house specializing in fine art, antiques, luxury collectibles, and rare items.
-
D.
Los Angeles Modern Auctions
Los Angeles Modern Auctions is an auction house specializing in modern and contemporary art and design, known for its curated sales of 20th- and 21st-century works.
-
E.
Tattersalls
Tattersalls is a historic British auction house best known for conducting premier bloodstock and horse sales, particularly in Newmarket.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8674c0819091dfbe9c50778c5e |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469bc538819099ed5b7061cf140d |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.