Triple
T20102908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgang Hahn Prize |
E496590
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Jac Leirner |
—
|
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: Jac Leirner | Statement: [Wolfgang Hahn Prize, notableRecipient, Jac Leirner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jac Leirner Context triple: [Wolfgang Hahn Prize, notableRecipient, Jac Leirner]
-
A.
Jac Leirner
chosen
Jac Leirner is a Brazilian contemporary artist known for her conceptual works that repurpose everyday objects to explore themes of value, accumulation, and consumer culture.
-
B.
Catherine Feller
Catherine Feller is a British actress best known for her roles in 1960s film and television, including appearances in classic Hammer horror productions.
-
C.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
D.
Catherine Kellner
Catherine Kellner is an American actress known for supporting roles in films such as Pearl Harbor and various independent movies and television series.
-
E.
Bettina Gilois
Bettina Gilois was a German-American screenwriter and author known for her work on inspirational, fact-based films such as "McFarland, USA" and "Glory Road."
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6667170a4819085d07a4188ded541 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:27 p.m.