Triple
T12405556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyndham Lewis |
E296374
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tarr |
E972190
|
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: Tarr | Statement: [Wyndham Lewis, notableWork, Tarr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarr Context triple: [Wyndham Lewis, notableWork, Tarr]
-
A.
Tarr
Tarr is the surname of Hungarian film director Béla Tarr, renowned for his bleak, atmospheric, and visually distinctive art-house cinema.
-
B.
Tarr
chosen
Tarr is a modernist novel by Percy Wyndham Lewis that satirically explores bohemian life and artistic pretension in pre-World War I Paris.
-
C.
Torell
Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
-
D.
Taralga
Taralga is a small rural village in New South Wales, Australia, known for its historic buildings, sheep and cattle farming, and proximity to the Wombeyan Caves.
-
E.
Taron
Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d48f1908190918551c794f98fe3 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63486d1b881908d94218d2c391123 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.