Triple
T18759330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Whiteread |
E458728
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Whiteread |
—
|
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: Whiteread | Statement: [Rachel Whiteread, familyName, Whiteread]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whiteread Context triple: [Rachel Whiteread, familyName, Whiteread]
-
A.
Whiteread
chosen
Whiteread is the surname of Rachel Whiteread, a prominent British sculptor known for her large-scale casts of negative spaces in everyday architecture and objects.
-
B.
Scaife
Scaife is an American surname most prominently associated with the wealthy and influential Scaife family of industrialists and philanthropists.
-
C.
Haardt
Haardt is a district of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany, known for its scenic location along the German Wine Route and proximity to the Palatinate Forest.
-
D.
Bridwell
Bridwell is a surname most notably associated with Jim Bridwell, an influential American rock climber and mountaineer.
-
E.
Leventhal
Leventhal is a Jewish-origin surname borne by various notable individuals in fields such as law, academia, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d7db2f48190a4f1c5c9801fe180 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.