Triple

T8935966
Position Surface form Disambiguated ID Type / Status
Subject Lamont Bentley E212775 entity
Predicate workedWith P398 FINISHED
Object Shar Jackson E207708 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: Shar Jackson | Statement: [Lamont Bentley, workedWith, Shar Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shar Jackson
Context triple: [Lamont Bentley, workedWith, Shar Jackson]
  • A. Shar Jackson chosen
    Shar Jackson is an American actress and singer best known for her role as Niecy Jackson on the 1990s sitcom "Moesha."
  • B. Athene Seyler
    Athene Seyler was a distinguished English character actress known for her long stage and film career, often portraying eccentric or comedic older women.
  • C. Elissa Knight
    Elissa Knight is an American voice actress best known for voicing the character EVE in Pixar's animated film "WALL-E."
  • D. Shara Nelson
    Shara Nelson is a British singer and songwriter best known for her soulful vocals on early Massive Attack tracks, including the hit "Unfinished Sympathy."
  • E. Anna Beth Sully
    Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66928cec8190915636d663f843af completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1e241a08190bc935c4f0dde9d2f completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.