Triple

T7010358
Position Surface form Disambiguated ID Type / Status
Subject Donell Jones E162563 entity
Predicate associatedAct P37 FINISHED
Object Left Eye E597012 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: Left Eye | Statement: [Donell Jones, associatedAct, Left Eye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Left Eye
Context triple: [Donell Jones, associatedAct, Left Eye]
  • A. Lisa "Left Eye" Lopes chosen
    Lisa "Left Eye" Lopes was an American rapper, singer, and songwriter best known as a member of the Grammy-winning R&B/hip-hop group TLC.
  • B. Mýa
    Mýa is an American R&B singer, songwriter, and dancer known for late-1990s and early-2000s hits like "Case of the Ex" and her feature on "Lady Marmalade."
  • C. Sisqó
    Sisqó is an American R&B singer, songwriter, and producer best known as the flamboyant frontman of Dru Hill and for his solo hit "Thong Song."
  • D. Belinda
    Belinda is a central female character in John Vanbrugh’s Restoration comedy "The Provoked Wife," known for her wit and involvement in the play’s marital and social intrigues.
  • E. Belinda
    Belinda is a lively, hot-tempered but good-hearted schoolgirl character from Enid Blyton’s Malory Towers series.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc3917c481909a288c3e56630c48 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4bd424819097e1543ec59979ff completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.