Triple
T4101094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudbound |
E87941
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
Tamar-kali
Tamar-kali is an American composer, singer-songwriter, and guitarist known for her genre-blending work and acclaimed film scores, including her breakthrough on the period drama "Mudbound."
|
E414069
|
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: Tamar-kali | Statement: [Mudbound, composer, Tamar-kali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamar-kali Context triple: [Mudbound, composer, Tamar-kali]
-
A.
Tamalu
Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
B.
Tamambo
Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
-
C.
Taroombal
Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
-
D.
Sawanih
Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
-
E.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
- 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: Tamar-kali Triple: [Mudbound, composer, Tamar-kali]
Generated description
Tamar-kali is an American composer, singer-songwriter, and guitarist known for her genre-blending work and acclaimed film scores, including her breakthrough on the period drama "Mudbound."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamar-kali Target entity description: Tamar-kali is an American composer, singer-songwriter, and guitarist known for her genre-blending work and acclaimed film scores, including her breakthrough on the period drama "Mudbound."
-
A.
Tamalu
Tamalu is a village located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
-
B.
Tamambo
Tamambo is an Oceanic Austronesian language spoken primarily on Malo Island in Vanuatu.
-
C.
Taroombal
Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
-
D.
Sawanih
Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
-
E.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
- 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.