Triple
T20675020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarhead 2: Field of Fire |
E508134
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Asen Asenov
Asen Asenov is an actor known for appearing in the war film "Jarhead 2: Field of Fire."
|
E1443869
|
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: Asen Asenov | Statement: [Jarhead 2: Field of Fire, castMember, Asen Asenov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asen Asenov Context triple: [Jarhead 2: Field of Fire, castMember, Asen Asenov]
-
A.
Asen Zlatarov
Asen Zlatarov was a prominent Bulgarian chemist, writer, and public figure known for his contributions to science, literature, and education in Bulgaria.
-
B.
Kosta Tsonev
Kosta Tsonev was a prominent Bulgarian film and theater actor, widely recognized for his roles in Bulgarian cinema and television during the second half of the 20th century.
-
C.
Vasil Terziev
Vasil Terziev is a Bulgarian entrepreneur and politician who serves as the mayor of Sofia.
-
D.
Georgi Parvanov
Georgi Parvanov is a Bulgarian politician and historian who served as President of Bulgaria from 2002 to 2012 and was a leading figure in the Bulgarian Socialist Party.
-
E.
Alexander Toshev
Alexander Toshev is a computer scientist known for his contributions to computer vision and deep learning, including influential work on object detection.
- 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: Asen Asenov Triple: [Jarhead 2: Field of Fire, castMember, Asen Asenov]
Generated description
Asen Asenov is an actor known for appearing in the war film "Jarhead 2: Field of Fire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asen Asenov Target entity description: Asen Asenov is an actor known for appearing in the war film "Jarhead 2: Field of Fire."
-
A.
Asen Zlatarov
Asen Zlatarov was a prominent Bulgarian chemist, writer, and public figure known for his contributions to science, literature, and education in Bulgaria.
-
B.
Kosta Tsonev
Kosta Tsonev was a prominent Bulgarian film and theater actor, widely recognized for his roles in Bulgarian cinema and television during the second half of the 20th century.
-
C.
Vasil Terziev
Vasil Terziev is a Bulgarian entrepreneur and politician who serves as the mayor of Sofia.
-
D.
Georgi Parvanov
Georgi Parvanov is a Bulgarian politician and historian who served as President of Bulgaria from 2002 to 2012 and was a leading figure in the Bulgarian Socialist Party.
-
E.
Alexander Toshev
Alexander Toshev is a computer scientist known for his contributions to computer vision and deep learning, including influential work on object detection.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cdbec48190a945261c41d810ce |
completed | April 20, 2026, 11:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd689f3881908347064014c9a32a |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:44 a.m.