Triple
T1678453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War Horse |
E36284
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Niels Arestrup
Niels Arestrup is a French actor and filmmaker renowned for his intense, character-driven performances in both French cinema and international films.
|
E190440
|
NE FINISHED |
How this triple was built (4 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: Niels Arestrup | Statement: [War Horse, starring, Niels Arestrup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niels Arestrup Context triple: [War Horse, starring, Niels Arestrup]
-
A.
Emil Theodor Kocher
Emil Theodor Kocher was a Swiss surgeon and Nobel laureate renowned for his pioneering work in thyroid surgery and surgical techniques.
-
B.
Émile Schuffenecker
Émile Schuffenecker was a French Post-Impressionist painter and close associate of Paul Gauguin, known for his role in early Symbolist and Synthetist movements.
-
C.
George Kassabaum
George Kassabaum was an American architect and co-founder of the global design and architecture firm HOK.
-
D.
John Daykin
John Daykin was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
E.
Alfred Meyer
Alfred Meyer was a high-ranking Nazi official who served as a key administrator in the German occupation of Eastern Europe during World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Niels Arestrup Triple: [War Horse, starring, Niels Arestrup]
Generated description
Niels Arestrup is a French actor and filmmaker renowned for his intense, character-driven performances in both French cinema and international films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niels Arestrup Target entity description: Niels Arestrup is a French actor and filmmaker renowned for his intense, character-driven performances in both French cinema and international films.
-
A.
Emil Theodor Kocher
Emil Theodor Kocher was a Swiss surgeon and Nobel laureate renowned for his pioneering work in thyroid surgery and surgical techniques.
-
B.
Émile Schuffenecker
Émile Schuffenecker was a French Post-Impressionist painter and close associate of Paul Gauguin, known for his role in early Symbolist and Synthetist movements.
-
C.
George Kassabaum
George Kassabaum was an American architect and co-founder of the global design and architecture firm HOK.
-
D.
John Daykin
John Daykin was a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
E.
Alfred Meyer
Alfred Meyer was a high-ranking Nazi official who served as a key administrator in the German occupation of Eastern Europe during World War II.
- F. None of above. chosen
Provenance (5 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_69a886139ed081909af0940aa9313512 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa625f7e1081909c3c4fe76625783a |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71ba4db08190a532fb334fd0cd23 |
completed | March 8, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_69ad73cfce488190b0ed6b85713281d3 |
completed | March 8, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad74401cbc8190bfaba1e9f32810bc |
completed | March 8, 2026, 1:06 p.m. |
Created at: March 4, 2026, 7:29 p.m.