Triple

T9154559
Position Surface form Disambiguated ID Type / Status
Subject The Good Fight E219675 entity
Predicate starring P1507 FINISHED
Object Cush Jumbo E781258 NE FINISHED

How this triple was built (2 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 Fight, starring, Cush Jumbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cush Jumbo
Context triple: [The Good Fight, starring, Cush Jumbo]
  • A. Cush Jumbo chosen
    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."
  • B. Cush
    Cush is an ancient biblical region and people, often identified with areas south of Egypt such as Nubia or Ethiopia.
  • C. 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.
  • D. Negus
    Negus was a royal title used in Ethiopia for kings or rulers, ranking below the emperor.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d0545c5bb48190b889e6e9ef0448a5 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:20 p.m.