Triple
T16176888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorgos Lanthimos |
E392586
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yorgos Lanthimos |
E392586
|
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: Yorgos Lanthimos | Statement: [Yorgos Lanthimos, name, Yorgos Lanthimos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yorgos Lanthimos Context triple: [Yorgos Lanthimos, name, Yorgos Lanthimos]
-
A.
Yorgos Lanthimos
chosen
Yorgos Lanthimos is a Greek film director and screenwriter known for his darkly absurd, psychologically unsettling films such as "Dogtooth," "The Lobster," and "The Favourite."
-
B.
George Swinton
George Swinton was a notable member of the prominent Swinton family, recognized for his role in public service and contributions to British civic life.
-
C.
Theo Angelopoulos
Theo Angelopoulos was a renowned Greek filmmaker celebrated for his slow, meditative style, long takes, and politically charged, poetic explorations of history and memory.
-
D.
Peter Strickland
Peter Strickland is a British filmmaker known for his atmospheric, genre-bending films that blend psychological horror, dark humor, and meticulous sound design.
-
E.
Martin Arjovsky
Martin Arjovsky is a machine learning researcher best known for introducing the Wasserstein GAN, a generative adversarial network variant that improves training stability and sample quality.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22059e7048190b4592cb1516b5f8d |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7c11bc881909211a668f48092aa |
completed | May 10, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:02 a.m.