Triple

T12503920
Position Surface form Disambiguated ID Type / Status
Subject The Day Today E298896 entity
Predicate executiveProducer P7225 FINISHED
Object Geoff Posner
Geoff Posner is a British television director and producer known for his work on influential UK comedy and entertainment programs.
E1017281 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: Geoff Posner | Statement: [The Day Today, executiveProducer, Geoff Posner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoff Posner
Context triple: [The Day Today, executiveProducer, Geoff Posner]
  • A. Michael Boughen
    Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
  • B. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • C. Garth Drabinsky
    Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
  • D. Sam Greisman
    Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
  • E. Jeffrey Stott
    Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
  • 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: Geoff Posner
Triple: [The Day Today, executiveProducer, Geoff Posner]
Generated description
Geoff Posner is a British television director and producer known for his work on influential UK comedy and entertainment programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Geoff Posner
Target entity description: Geoff Posner is a British television director and producer known for his work on influential UK comedy and entertainment programs.
  • A. Michael Boughen
    Michael Boughen is a film producer known for his work on action and thriller movies, including the Jason Statham–starring film "Killer Elite."
  • B. Josh Kesselman
    Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
  • C. Garth Drabinsky
    Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
  • D. Sam Greisman
    Sam Greisman is an American writer and director known publicly as the son of acclaimed actress Sally Field.
  • E. Jeffrey Stott
    Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb096d881908dfd2a7126632d96 completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6cd3d5090819091b65f544ad139fd completed May 3, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6cdc8d52c819083717a455d589646 completed May 3, 2026, 4:23 a.m.
Created at: April 8, 2026, 9:57 p.m.