Triple

T7288074
Position Surface form Disambiguated ID Type / Status
Subject Lean on Me E163924 entity
Predicate starring P1507 FINISHED
Object Alan North E248293 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: Alan North | Statement: [Lean on Me, starring, Alan North]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan North
Context triple: [Lean on Me, starring, Alan North]
  • A. Alan North chosen
    Alan North was an American character actor known for his roles in film and television, often portraying authority figures such as police officers and military men.
  • B. Jack Thorne
    Jack Thorne is a British playwright and screenwriter known for works such as the stage play "Harry Potter and the Cursed Child" and numerous acclaimed film and television scripts.
  • C. Duncan MacMillan
    Duncan MacMillan is an American businessman best known as one of the co-founders of the global financial information and media company Bloomberg L.P.
  • D. Duncan MacMillan
    Duncan MacMillan is an American businessman best known as a co-founder of Interactive Data Corporation, a major provider of financial market data and analytics.
  • E. Nicholas Lea
    Nicholas Lea is a Canadian actor best known for his recurring role as Alex Krycek on the television series "The X-Files."
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6a73fc8190ae5ce81fd3e46d87 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db42c8d48190a548c4242b07fb40 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:59 p.m.