Triple

T773434
Position Surface form Disambiguated ID Type / Status
Subject The Rock E16333 entity
Predicate starring P1507 FINISHED
Object Ed Harris E29208 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: Ed Harris | Statement: [The Rock, starring, Ed Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Harris
Context triple: [The Rock, starring, Ed Harris]
  • A. Ed Harris chosen
    Ed Harris is an American actor and filmmaker known for his intense, authoritative performances in films such as "The Truman Show," "Apollo 13," and "Pollock."
  • B. George Norton
    George Norton was a British colonial-era lawyer and educator best known for establishing Presidency College in Madras, one of India’s earliest and most prestigious institutions of higher learning.
  • C. Scott Glenn
    Scott Glenn is an American actor known for his intense, rugged performances in films such as "The Right Stuff," "The Silence of the Lambs," and "Backdraft."
  • D. Frank Langella
    Frank Langella is an American actor renowned for his powerful stage and screen performances, including his acclaimed portrayal of Richard Nixon in "Frost/Nixon."
  • E. Burn Gorman
    Burn Gorman is a British-American actor known for his character roles in film and television, including appearances in projects like "Torchwood," "Game of Thrones," and "Pacific Rim."
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a72eda6c81908205ae5a1e05cc20 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f360208190affd6282a1040d9a completed March 7, 2026, 12:15 p.m.
Created at: March 1, 2026, 7:37 p.m.