Triple

T4763980
Position Surface form Disambiguated ID Type / Status
Subject Regeneration E105763 entity
Predicate hasCastMember P2308 FINISHED
Object John McCann
John McCann is an actor known for his role in the British science-fiction television series "Regeneration."
E467726 NE FINISHED

How this triple was built (4 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: John McCann | Statement: [Regeneration, hasCastMember, John McCann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McCann
Context triple: [Regeneration, hasCastMember, John McCann]
  • A. John McGowan
    John McGowan was a writer whose work served as the basis for the 1943 musical film "Girl Crazy."
  • B. Thomas Kinnear
    Thomas Kinnear is a fictional Canadian gentleman and murder victim in Margaret Atwood’s novel "Alias Grace," whose death is central to the story’s mystery.
  • C. Donn Cambern
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • D. Roy McGivern
    Roy McGivern is a Northern Irish football administrator best known for serving as chairman of Linfield FC, one of the country’s most successful and historic clubs.
  • E. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John McCann
Triple: [Regeneration, hasCastMember, John McCann]
Generated description
John McCann is an actor known for his role in the British science-fiction television series "Regeneration."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John McCann
Target entity description: John McCann is an actor known for his role in the British science-fiction television series "Regeneration."
  • A. John McGowan
    John McGowan was a writer whose work served as the basis for the 1943 musical film "Girl Crazy."
  • B. Thomas Kinnear
    Thomas Kinnear is a fictional Canadian gentleman and murder victim in Margaret Atwood’s novel "Alias Grace," whose death is central to the story’s mystery.
  • C. Donn Cambern
    Donn Cambern was an American film editor known for his work on numerous prominent Hollywood films, including the adventure comedy "Romancing the Stone."
  • D. Roy McGivern
    Roy McGivern is a Northern Irish football administrator best known for serving as chairman of Linfield FC, one of the country’s most successful and historic clubs.
  • E. Tim McClelland
    Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
  • F. None of above. chosen

Provenance (5 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6530f0648190b76db9964471cfeb completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a87741081909380c51ba4efed92 completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3d444b888190b2df7433502604ff completed March 21, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69be3dd31c648190bfdac15fb85cfec9 completed March 21, 2026, 6:42 a.m.
Created at: March 20, 2026, 1:20 p.m.