Triple

T14807875
Position Surface form Disambiguated ID Type / Status
Subject Jack O’Connell E348087 entity
Predicate name P16 FINISHED
Object Jack O’Connell E348087 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: Jack O’Connell | Statement: [Jack O’Connell, name, Jack O’Connell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack O’Connell
Context triple: [Jack O’Connell, name, Jack O’Connell]
  • A. Jack O’Connell chosen
    Jack O’Connell is an English actor known for his intense performances in film and television, including prominent roles in projects like "Skins," "’71," and "Unbroken."
  • B. Robert Sheehan
    Robert Sheehan is an Irish actor known for his roles in television series such as Misfits and The Umbrella Academy, as well as films including Mortal Engines.
  • C. Thomas Brodie-Sangster
    Thomas Brodie-Sangster is an English actor known for his roles in projects such as "Nanny McPhee," "The Maze Runner" series, and "Game of Thrones."
  • D. Lewis MacDougall
    Lewis MacDougall is a Scottish actor best known for his breakout role as the young protagonist in the fantasy drama film "A Monster Calls."
  • E. Josh O'Connor
    Josh O'Connor is a British actor best known for his acclaimed portrayal of Prince Charles in the television series "The Crown" and roles in films such as "God's Own Country."
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf33b6a08190ab6a4cfeda2cc09c completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed318aa908190a59b0def01a9cb16 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 1:42 a.m.