Triple
T15047804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White House Farm |
E379275
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Kris Mrksa
Kris Mrksa is a screenwriter and television writer known for his work on the true-crime drama series "White House Farm."
|
E1133595
|
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: Kris Mrksa | Statement: [White House Farm, writer, Kris Mrksa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kris Mrksa Context triple: [White House Farm, writer, Kris Mrksa]
-
A.
Kris Brkljac
Kris Brkljac is a Serbian-Australian business consultant and entrepreneur best known as the husband of actress Stana Katic.
-
B.
Anthony Krizan
Anthony Krizan is an American guitarist, singer, songwriter, and producer best known as a former member of the Spin Doctors and for his extensive work writing and producing across rock, blues, and jam-band music.
-
C.
Kris Marszalek
Kris Marszalek is a Polish entrepreneur best known as the co-founder and CEO of the cryptocurrency exchange and financial services platform Crypto.com.
-
D.
Alex Nesic
Alex Nesic is an actor best known for his role in the television drama series "Sleeper Cell."
-
E.
Jesse Ignjatovic
Jesse Ignjatovic is a television and live-event producer best known for creating and producing major music award shows and specials.
- 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: Kris Mrksa Triple: [White House Farm, writer, Kris Mrksa]
Generated description
Kris Mrksa is a screenwriter and television writer known for his work on the true-crime drama series "White House Farm."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kris Mrksa Target entity description: Kris Mrksa is a screenwriter and television writer known for his work on the true-crime drama series "White House Farm."
-
A.
Kris Brkljac
Kris Brkljac is a Serbian-Australian business consultant and entrepreneur best known as the husband of actress Stana Katic.
-
B.
Anthony Krizan
Anthony Krizan is an American guitarist, singer, songwriter, and producer best known as a former member of the Spin Doctors and for his extensive work writing and producing across rock, blues, and jam-band music.
-
C.
Kris Marszalek
Kris Marszalek is a Polish entrepreneur best known as the co-founder and CEO of the cryptocurrency exchange and financial services platform Crypto.com.
-
D.
Alex Nesic
Alex Nesic is an actor best known for his role in the television drama series "Sleeper Cell."
-
E.
Jesse Ignjatovic
Jesse Ignjatovic is a television and live-event producer best known for creating and producing major music award shows and specials.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9f49b1108190a453ef3805006e6c |
completed | May 9, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9fb79bd08190b22f92df751d0e58 |
completed | May 9, 2026, 2:45 a.m. |
Created at: April 10, 2026, 3 a.m.