Triple
T15492379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Miljan |
E378723
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Miljan
Miljan is a surname most notably borne by American film actor John Miljan, who appeared in numerous Hollywood productions from the silent era through the 1950s.
|
E1161235
|
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: Miljan | Statement: [John Miljan, familyName, Miljan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miljan Context triple: [John Miljan, familyName, Miljan]
-
A.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
B.
Mladen
Mladen is the original given name of American actor Karl Malden, known for his Academy Award–winning role in "A Streetcar Named Desire" and his work in film and television.
-
C.
Vlatko
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
-
D.
Milutin
Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
-
E.
Branko
Branko is a masculine given name commonly used in Slavic countries, particularly in the Balkans.
- 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: Miljan Triple: [John Miljan, familyName, Miljan]
Generated description
Miljan is a surname most notably borne by American film actor John Miljan, who appeared in numerous Hollywood productions from the silent era through the 1950s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miljan Target entity description: Miljan is a surname most notably borne by American film actor John Miljan, who appeared in numerous Hollywood productions from the silent era through the 1950s.
-
A.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
B.
Mladen
Mladen is the original given name of American actor Karl Malden, known for his Academy Award–winning role in "A Streetcar Named Desire" and his work in film and television.
-
C.
Vlatko
Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
-
D.
Milutin
Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
-
E.
Branko
Branko is a masculine given name commonly used in Slavic countries, particularly in the Balkans.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3660fc6c81908caf1729260a8338 |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff373558c88190983792d12956886e |
completed | May 9, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff37c1b1e081909662b37eb5a2da1a |
completed | May 9, 2026, 1:33 p.m. |
Created at: April 10, 2026, 3:49 a.m.