Triple
T5692946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milena Markovna Kunis |
E125468
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Mark Kunis
Mark Kunis is the father of actress Mila Kunis, known publicly mainly through his relationship to his famous daughter.
|
E540771
|
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: Mark Kunis | Statement: [Milena Markovna Kunis, parent, Mark Kunis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Kunis Context triple: [Milena Markovna Kunis, parent, Mark Kunis]
-
A.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
-
B.
Matt Barr
Matt Barr is an American actor known for his roles in television series such as "Hatfields & McCoys," "One Tree Hill," and "Valor."
-
C.
Jason Ritter
Jason Ritter is an American actor known for his work in film and television, including roles in series like "Parenthood" and "Joan of Arcadia."
-
D.
Simon Helberg
Simon Helberg is an American actor and comedian best known for playing aerospace engineer Howard Wolowitz on the hit sitcom "The Big Bang Theory."
-
E.
Zach Braff
Zach Braff is an American actor, director, and screenwriter best known for starring as J.D. on the television series "Scrubs" and for directing the film "Garden State."
- 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: Mark Kunis Triple: [Milena Markovna Kunis, parent, Mark Kunis]
Generated description
Mark Kunis is the father of actress Mila Kunis, known publicly mainly through his relationship to his famous daughter.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Kunis Target entity description: Mark Kunis is the father of actress Mila Kunis, known publicly mainly through his relationship to his famous daughter.
-
A.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
-
B.
Matt Barr
Matt Barr is an American actor known for his roles in television series such as "Hatfields & McCoys," "One Tree Hill," and "Valor."
-
C.
Jason Ritter
Jason Ritter is an American actor known for his work in film and television, including roles in series like "Parenthood" and "Joan of Arcadia."
-
D.
Simon Helberg
Simon Helberg is an American actor and comedian best known for playing aerospace engineer Howard Wolowitz on the hit sitcom "The Big Bang Theory."
-
E.
Zach Braff
Zach Braff is an American actor, director, and screenwriter best known for starring as J.D. on the television series "Scrubs" and for directing the film "Garden State."
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e678c48190824d35d276985311 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a4f2bfc8190bc56c094f9ae9ce1 |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05bb6a334819094cff84f16f5285c |
completed | March 22, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c7a03948190b38e2dfcb04fd93e |
completed | March 22, 2026, 9:17 p.m. |
Created at: March 22, 2026, 3:44 p.m.