Triple

T3659260
Position Surface form Disambiguated ID Type / Status
Subject Jabberwocky E77608 entity
Predicate editor P1954 FINISHED
Object Michael Bradsell
Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
E406919 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: Michael Bradsell | Statement: [Jabberwocky, editor, Michael Bradsell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Bradsell
Context triple: [Jabberwocky, editor, Michael Bradsell]
  • A. Michael Bradsell
    Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
  • B. Jason Blundell
    Jason Blundell is a video game developer best known as a key creative lead on the Call of Duty: Black Ops Zombies mode at Treyarch.
  • C. Kevin Cossom
    Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
  • D. Ian Roberts
    Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
  • E. Ian Crafford
    Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
  • 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: Michael Bradsell
Triple: [Jabberwocky, editor, Michael Bradsell]
Generated description
Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael Bradsell
Target entity description: Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
  • A. Michael Bradsell
    Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
  • B. Jason Blundell
    Jason Blundell is a video game developer best known as a key creative lead on the Call of Duty: Black Ops Zombies mode at Treyarch.
  • C. Kevin Cossom
    Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
  • D. Ian Roberts
    Ian Roberts is a South African actor best known for his roles in film, television, and stage productions, often portraying rugged or authoritative characters.
  • E. Ian Crafford
    Ian Crafford is a film editor best known for his work on the James Bond movie "Never Say Never Again."
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d5e5f881909c7c105827d41071 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c256e0881909c6d481d373e814c completed March 14, 2026, 11:53 a.m.
NEDg Description generation batch_69b54e0861e481909100ac83deb76d23 completed March 14, 2026, 12:01 p.m.
NED2 Entity disambiguation (via description) batch_69b54e5913cc8190817cf7f997450ffc completed March 14, 2026, 12:02 p.m.
Created at: March 8, 2026, 3:25 p.m.