Triple
T20407523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross of Iron |
E500509
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Vadim Glowna
Vadim Glowna was a German actor and film director known for his work in European cinema from the 1960s onward.
|
E1431088
|
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: Vadim Glowna | Statement: [Cross of Iron, starring, Vadim Glowna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vadim Glowna Context triple: [Cross of Iron, starring, Vadim Glowna]
-
A.
Sergei Wojciechowski
Sergei Wojciechowski was a military officer best known for his leadership role within the Czechoslovak Legion during and after World War I.
-
B.
Yaroslav Shramko
Yaroslav Shramko is a Ukrainian philosopher and academic who serves as the rector of Kryvyi Rih State Pedagogical University.
-
C.
Pavel Dybenko
Pavel Dybenko was a Bolshevik revolutionary and naval leader who played a prominent role in the Russian Revolution and early Soviet military affairs.
-
D.
Renald Knysh
Renald Knysh was a prominent Soviet gymnastics coach best known for mentoring Olympic champion Olga Korbut and pioneering innovative training techniques in artistic gymnastics.
-
E.
Denys Maliuska
Denys Maliuska is a Ukrainian lawyer and politician who served as Ukraine’s Minister of Justice in the government of Oleksiy Honcharuk.
- 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: Vadim Glowna Triple: [Cross of Iron, starring, Vadim Glowna]
Generated description
Vadim Glowna was a German actor and film director known for his work in European cinema from the 1960s onward.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vadim Glowna Target entity description: Vadim Glowna was a German actor and film director known for his work in European cinema from the 1960s onward.
-
A.
Sergei Wojciechowski
Sergei Wojciechowski was a military officer best known for his leadership role within the Czechoslovak Legion during and after World War I.
-
B.
Yaroslav Shramko
Yaroslav Shramko is a Ukrainian philosopher and academic who serves as the rector of Kryvyi Rih State Pedagogical University.
-
C.
Pavel Dybenko
Pavel Dybenko was a Bolshevik revolutionary and naval leader who played a prominent role in the Russian Revolution and early Soviet military affairs.
-
D.
Renald Knysh
Renald Knysh was a prominent Soviet gymnastics coach best known for mentoring Olympic champion Olga Korbut and pioneering innovative training techniques in artistic gymnastics.
-
E.
Denys Maliuska
Denys Maliuska is a Ukrainian lawyer and politician who served as Ukraine’s Minister of Justice in the government of Oleksiy Honcharuk.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67993dc7081908ebd54ec92e712ea |
completed | April 20, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883ec6b8c8190aeb3ef7443a64330 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08857a27f881908a7dab5ef4506a17 |
completed | May 16, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0885f9e7d88190b3085f68add016d1 |
completed | May 16, 2026, 2:58 p.m. |
Created at: April 16, 2026, 11:29 a.m.