Triple

T23477594
Position Surface form Disambiguated ID Type / Status
Subject Numb3rs E570307 entity
Predicate stars P1956 FINISHED
Object Alimi Ballard NE NERFINISHED

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: Alimi Ballard | Statement: [Numb3rs, stars, Alimi Ballard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alimi Ballard
Context triple: [Numb3rs, stars, Alimi Ballard]
  • A. Alimi Ballard chosen
    Alimi Ballard is an American actor best known for his television roles in series such as "Dark Angel," "Numb3rs," and "CSI: Crime Scene Investigation."
  • B. Marlo Lewis
    Marlo Lewis was an American television producer best known for co-creating and helping shape the long-running variety program The Ed Sullivan Show.
  • C. Lidian Jackson
    Lidian Jackson was a 19th-century American woman best known as the wife of transcendentalist philosopher and writer Ralph Waldo Emerson.
  • D. Andell Wilkerson
    Andell Wilkerson is a witty, down-to-earth supporting character from the sitcom "Moesha," known for being Moesha's close friend and a source of comic relief and guidance.
  • E. Marley Taylor
    Marley Taylor is an actress known for appearing in the holiday comedy film "Almost Christmas."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a74dbea8819085ca84391039e7f7 completed April 29, 2026, 6:38 a.m.
Created at: April 17, 2026, 6:02 p.m.