Triple
T3759719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Monuments Men |
E82130
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Dimitri Leonidas
Dimitri Leonidas is a British actor known for his roles in film and television, including a supporting part in the World War II drama "The Monuments Men."
|
E387039
|
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: Dimitri Leonidas | Statement: [The Monuments Men, stars, Dimitri Leonidas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dimitri Leonidas Context triple: [The Monuments Men, stars, Dimitri Leonidas]
-
A.
Dimitrios
Dimitrios is the birth name of Bartholomew I, the Ecumenical Patriarch of Constantinople and a prominent leader in the Eastern Orthodox Church.
-
B.
Dimitri
Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
-
C.
Stelios
Stelios is a male given name of Greek origin, commonly used as a diminutive of Stylianos.
-
D.
Demetri
Demetri is a powerful vampire tracker in the Volturi coven from the Twilight series, renowned for his unparalleled ability to locate individuals.
-
E.
Nick Andros
Nick Andros is a deaf-mute drifter who becomes one of the central, morally grounded leaders in Stephen King’s post-apocalyptic novel "The Stand."
- 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: Dimitri Leonidas Triple: [The Monuments Men, stars, Dimitri Leonidas]
Generated description
Dimitri Leonidas is a British actor known for his roles in film and television, including a supporting part in the World War II drama "The Monuments Men."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dimitri Leonidas Target entity description: Dimitri Leonidas is a British actor known for his roles in film and television, including a supporting part in the World War II drama "The Monuments Men."
-
A.
Dimitrios
Dimitrios is the birth name of Bartholomew I, the Ecumenical Patriarch of Constantinople and a prominent leader in the Eastern Orthodox Church.
-
B.
Dimitri
Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
-
C.
Stelios
Stelios is a male given name of Greek origin, commonly used as a diminutive of Stylianos.
-
D.
Demetri
Demetri is a powerful vampire tracker in the Volturi coven from the Twilight series, renowned for his unparalleled ability to locate individuals.
-
E.
Nick Andros
Nick Andros is a deaf-mute drifter who becomes one of the central, morally grounded leaders in Stephen King’s post-apocalyptic novel "The Stand."
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc3d3f48190974cec104080949f |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5133ba48190a18ea170e3b9e1cd |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e62d284881908531b93645649f45 |
completed | March 14, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4ea2b19e48190864d2114603865ed |
completed | March 14, 2026, 4:55 a.m. |
Created at: March 8, 2026, 3:35 p.m.