Triple

T5352118
Position Surface form Disambiguated ID Type / Status
Subject Daily Mail E102600 entity
Predicate hasEditor P1954 FINISHED
Object Ted Verity
Ted Verity is a British journalist who serves as the editor of the Daily Mail newspaper.
 E513832 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: Ted Verity | Statement: [Daily Mail, hasEditor, Ted Verity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ted Verity
Context triple: [Daily Mail, hasEditor, Ted Verity]
  • A. Ben Vane
    Ben Vane is a small but steep Scottish mountain in the Arrochar Alps, popular with hikers for its rugged ascent and views over Loch Lomond.
  • B. Don Rhymer
    Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
  • C. Eric Eldred
    Eric Eldred is an American digital rights activist and publisher known for his work promoting free access to literature and for co-founding the Creative Commons movement.
  • D. Troy Taylor
    Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
  • E. Alan Tilvern
    Alan Tilvern was a British character actor known for his tough-guy roles in film and television, including a notable appearance in the live-action/animated film "Who Framed Roger Rabbit."
  • 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: Ted Verity
Triple: [Daily Mail, hasEditor, Ted Verity]
Generated description
Ted Verity is a British journalist who serves as the editor of the Daily Mail newspaper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ted Verity
Target entity description: Ted Verity is a British journalist who serves as the editor of the Daily Mail newspaper.
  • A. Ben Vane
    Ben Vane is a small but steep Scottish mountain in the Arrochar Alps, popular with hikers for its rugged ascent and views over Loch Lomond.
  • B. Don Rhymer
    Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
  • C. Eric Eldred
    Eric Eldred is an American digital rights activist and publisher known for his work promoting free access to literature and for co-founding the Creative Commons movement.
  • D. Troy Taylor
    Troy Taylor is an American R&B record producer and songwriter known for his work with artists such as Trey Songz and Whitney Houston.
  • E. Alan Tilvern
    Alan Tilvern was a British character actor known for his tough-guy roles in film and television, including a notable appearance in the live-action/animated film "Who Framed Roger Rabbit."
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd861327288190b3f2720ce81e0de6 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21d836b081908a5fb4e73397fa44 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf22b24bac8190a679a8663dafc6d2 completed March 21, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69bf23fd528881909685671ec73d8f6c completed March 21, 2026, 11:04 p.m.
Created at: March 20, 2026, 2:01 p.m.