Triple
T12877440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Heat |
E308003
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ivan Danko
Ivan Danko is a tough, stoic Soviet police captain portrayed by Arnold Schwarzenegger in the 1988 action film "Red Heat."
|
E1013715
|
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: Ivan Danko | Statement: [Red Heat, mainCharacter, Ivan Danko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivan Danko Context triple: [Red Heat, mainCharacter, Ivan Danko]
-
A.
Vladimir Smicer
Vladimir Šmicer is a retired Czech attacking midfielder best known for scoring in Liverpool’s dramatic comeback victory over AC Milan in the 2005 UEFA Champions League Final, known as the “Miracle of Istanbul.”
-
B.
Ive Svorcina
Ive Svorcina is a comic book colorist known for his work on major Marvel titles, including the 2015 Secret Wars event series.
-
C.
Roman Podhora
Roman Podhora is a Canadian actor known for his work in film and television, including roles in genre and action projects.
-
D.
Alexander Dvornikov
Alexander Dvornikov is a Russian Army general known for his senior command roles in Russia’s military operations in Syria and Ukraine.
-
E.
George Kralovansky
George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
- 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: Ivan Danko Triple: [Red Heat, mainCharacter, Ivan Danko]
Generated description
Ivan Danko is a tough, stoic Soviet police captain portrayed by Arnold Schwarzenegger in the 1988 action film "Red Heat."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ivan Danko Target entity description: Ivan Danko is a tough, stoic Soviet police captain portrayed by Arnold Schwarzenegger in the 1988 action film "Red Heat."
-
A.
Vladimir Smicer
Vladimir Šmicer is a retired Czech attacking midfielder best known for scoring in Liverpool’s dramatic comeback victory over AC Milan in the 2005 UEFA Champions League Final, known as the “Miracle of Istanbul.”
-
B.
Ive Svorcina
Ive Svorcina is a comic book colorist known for his work on major Marvel titles, including the 2015 Secret Wars event series.
-
C.
Roman Podhora
Roman Podhora is a Canadian actor known for his work in film and television, including roles in genre and action projects.
-
D.
Alexander Dvornikov
Alexander Dvornikov is a Russian Army general known for his senior command roles in Russia’s military operations in Syria and Ukraine.
-
E.
George Kralovansky
George Kralovansky is a television producer best known for his executive production work on the live law-enforcement reality series "Live PD."
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8ccee708190bb4caa604386e3a3 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6bafee83c819096469034ca32ff7d |
completed | May 3, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 5:38 p.m.