Triple

T9154517
Position Surface form Disambiguated ID Type / Status
Subject The Good Wife E219674 entity
Predicate starring P1507 FINISHED
Object Cush Jumbo
Cush Jumbo is a British actress and writer best known for her acclaimed role as attorney Lucca Quinn on the television series "The Good Wife" and its spin-off "The Good Fight."
E781258 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: Cush Jumbo | Statement: [The Good Wife, starring, Cush Jumbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cush Jumbo
Context triple: [The Good Wife, starring, Cush Jumbo]
  • A. Cush
    Cush is an ancient biblical region and people, often identified with areas south of Egypt such as Nubia or Ethiopia.
  • B. Negus
    Negus is the 2010 studio album by American rapper and producer Mos Def (Yasiin Bey), known for its experimental, Afrocentric hip-hop sound and conceptual approach.
  • C. Negus
    Negus was a royal title used in Ethiopia for kings or rulers, ranking below the emperor.
  • D. Zellig
    Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
  • E. Bachué
    Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
  • 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: Cush Jumbo
Triple: [The Good Wife, starring, Cush Jumbo]
Generated description
Cush Jumbo is a British actress and writer best known for her acclaimed role as attorney Lucca Quinn on the television series "The Good Wife" and its spin-off "The Good Fight."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cush Jumbo
Target entity description: Cush Jumbo is a British actress and writer best known for her acclaimed role as attorney Lucca Quinn on the television series "The Good Wife" and its spin-off "The Good Fight."
  • A. Cush
    Cush is an ancient biblical region and people, often identified with areas south of Egypt such as Nubia or Ethiopia.
  • B. Negus
    Negus is the 2010 studio album by American rapper and producer Mos Def (Yasiin Bey), known for its experimental, Afrocentric hip-hop sound and conceptual approach.
  • C. Negus
    Negus was a royal title used in Ethiopia for kings or rulers, ranking below the emperor.
  • D. Zellig
    Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
  • E. Bachué
    Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96f87ac8190b2fc6d2b2834c1b6 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0484e580c8190944ad76f6ef0be9d completed April 3, 2026, 11:07 p.m.
NEDg Description generation batch_69d0496672a881909c1ac91a7ec1a2a1 completed April 3, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69d04a35451881909dfe6795b743b026 completed April 3, 2026, 11:16 p.m.
Created at: March 30, 2026, 7:20 p.m.