Triple
T13119226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Northman |
E311679
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Robert Eggers |
E796880
|
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: Robert Eggers | Statement: [The Northman, director, Robert Eggers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Eggers Context triple: [The Northman, director, Robert Eggers]
-
A.
Robert Eggers
chosen
Robert Eggers is an American filmmaker known for his meticulously researched, atmospheric horror and period films such as "The Witch" and "The Lighthouse."
-
B.
David Michôd
David Michôd is an Australian film director and screenwriter best known for his crime drama "Animal Kingdom" and dystopian thriller "The Rover."
-
C.
Ari Aster
Ari Aster is an American filmmaker and screenwriter best known for his unsettling, character-driven horror films such as "Hereditary" and "Midsommar."
-
D.
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.
-
E.
James Gray
James Gray is an American filmmaker known for his character-driven dramas and visually rich, classical storytelling in films such as "The Lost City of Z," "Ad Astra," and "We Own the Night."
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d205408190883b67739d5efaa7 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:06 p.m.