Triple

T14630883
Position Surface form Disambiguated ID Type / Status
Subject Grosse Pointe Blank E343474 entity
Predicate director P255 FINISHED
Object George Armitage E970106 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: George Armitage | Statement: [Grosse Pointe Blank, director, George Armitage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Armitage
Context triple: [Grosse Pointe Blank, director, George Armitage]
  • A. George Armitage chosen
    George Armitage is an American film director and screenwriter best known for cult favorites like "Miami Blues" and "Grosse Pointe Blank."
  • B. William Ross
    William Ross is an American composer, orchestrator, and conductor known for his work on numerous film scores and collaborations with major Hollywood productions.
  • C. George C. Pearce
    George C. Pearce was an early 20th-century American film actor known for his character roles in silent-era dramas.
  • D. Robert Armstrong
    Robert Armstrong is a common name shared by several notable individuals, including an American actor famous for his role in the 1933 film "King Kong" and a U.S. politician who served as a senator from Texas.
  • E. John L. Lumley
    John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a912248190a3df7f821395c776 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf078c1248190889ce04cffbf51dc completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:26 a.m.