Triple
T2977018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orhan Pamuk |
E80421
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | Thomas Mann |
E6705
|
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: Thomas Mann | Statement: [Orhan Pamuk, influencedBy, Thomas Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Mann Context triple: [Orhan Pamuk, influencedBy, Thomas Mann]
-
A.
Thomas Mann
chosen
Thomas Mann was a German novelist, short story writer, and essayist renowned for works like "Buddenbrooks" and "The Magic Mountain," which explore the psychology and moral crises of modern European society.
-
B.
Thomas Mann
Thomas Mann is an American actor known for his roles in films such as "Kong: Skull Island," "Project X," and "Me and Earl and the Dying Girl."
-
C.
Heinrich Mann
Heinrich Mann was a prominent German novelist and essayist known for his socially critical works and opposition to authoritarianism in the early 20th century.
-
D.
Hermann Hess
Hermann Hess was a mountaineer known for making the first recorded ascent of Monte San Valentín, the highest peak in Chilean Patagonia.
-
E.
Heinrich Böll
Heinrich Böll was a German writer and Nobel Prize–winning novelist known for his critical portrayals of postwar German society.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998c589c8190b4530f3fb8975187 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108ecef788190ad40dba81f1036c6 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.