Triple
T4101090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudbound |
E87941
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kim Roth
Kim Roth is a film producer best known for her work on critically acclaimed dramas such as "Mudbound."
|
E414068
|
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: Kim Roth | Statement: [Mudbound, producer, Kim Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Roth Context triple: [Mudbound, producer, Kim Roth]
-
A.
Ken Loeffler
Ken Loeffler was an American basketball coach best known for leading La Salle University to national prominence in the 1950s and for his successful stints in both college and professional basketball.
-
B.
Kay Bailey Hutchison
Kay Bailey Hutchison is an American attorney and Republican politician who served as a long-time U.S. Senator from Texas.
-
C.
Cecilia Abbott
Cecilia Abbott is an American educator and the First Lady of Texas, married to Governor Greg Abbott.
-
D.
Laura Kelly
Laura Kelly is an American Democratic politician serving as the governor of Kansas.
-
E.
Kim Reynolds
Kim Reynolds is an American Republican politician serving as the governor of Iowa and known for her conservative policies on taxes, education, and public health.
- 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: Kim Roth Triple: [Mudbound, producer, Kim Roth]
Generated description
Kim Roth is a film producer best known for her work on critically acclaimed dramas such as "Mudbound."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Roth Target entity description: Kim Roth is a film producer best known for her work on critically acclaimed dramas such as "Mudbound."
-
A.
Ken Loeffler
Ken Loeffler was an American basketball coach best known for leading La Salle University to national prominence in the 1950s and for his successful stints in both college and professional basketball.
-
B.
Kay Bailey Hutchison
Kay Bailey Hutchison is an American attorney and Republican politician who served as a long-time U.S. Senator from Texas.
-
C.
Cecilia Abbott
Cecilia Abbott is an American educator and the First Lady of Texas, married to Governor Greg Abbott.
-
D.
Laura Kelly
Laura Kelly is an American Democratic politician serving as the governor of Kansas.
-
E.
Kim Reynolds
Kim Reynolds is an American Republican politician serving as the governor of Iowa and known for her conservative policies on taxes, education, and public health.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0ed168819093c83ba079d6725c |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7833b081909bf5a87ee709b49f |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56f33f7688190a017e4486a3ba542 |
completed | March 14, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56fafb8208190997b6d91c4a1774d |
completed | March 14, 2026, 2:24 p.m. |
Created at: March 9, 2026, 3:40 p.m.