Triple

T22797621
Position Surface form Disambiguated ID Type / Status
Subject PC Zone E564291 entity
Predicate notableContributor P304 FINISHED
Object Will Porter
Will Porter is a British video game journalist and writer best known for his work on PC gaming magazines and narrative design for games.
E1555641 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: Will Porter | Statement: [PC Zone, notableContributor, Will Porter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Porter
Context triple: [PC Zone, notableContributor, Will Porter]
  • A. Will Porter
    Will Porter is a screenwriter best known for his work on the 1986 Rodney Dangerfield comedy film "Back to School."
  • B. Thomas Porter
    Thomas Porter is a prominent computer graphics researcher and pioneer known for his influential work in digital image compositing and contributions recognized by the Steven A. Coons Award.
  • C. John Porter
    John Porter is a telecommunications executive best known as the longtime CEO who has led Belgium-based cable and telecom operator Telenet Group.
  • D. John Porter
    John Porter is a British record producer and musician best known for his work on influential blues and rock albums.
  • E. Chris Porter
    Chris Porter is a vocalist known for providing backing vocals on notable recordings, including work associated with David Bowie's "Scary Monsters (and Super Creeps)" era.
  • 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: Will Porter
Triple: [PC Zone, notableContributor, Will Porter]
Generated description
Will Porter is a British video game journalist and writer best known for his work on PC gaming magazines and narrative design for games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Will Porter
Target entity description: Will Porter is a British video game journalist and writer best known for his work on PC gaming magazines and narrative design for games.
  • A. Will Porter
    Will Porter is a screenwriter best known for his work on the 1986 Rodney Dangerfield comedy film "Back to School."
  • B. Thomas Porter
    Thomas Porter is a prominent computer graphics researcher and pioneer known for his influential work in digital image compositing and contributions recognized by the Steven A. Coons Award.
  • C. John Porter
    John Porter is a telecommunications executive best known as the longtime CEO who has led Belgium-based cable and telecom operator Telenet Group.
  • D. John Porter
    John Porter is a British record producer and musician best known for his work on influential blues and rock albums.
  • E. Chris Porter
    Chris Porter is a vocalist known for providing backing vocals on notable recordings, including work associated with David Bowie's "Scary Monsters (and Super Creeps)" era.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cda76448190891c5190e1d75ae0 completed April 29, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e95a7008190860cf3aac103d07d completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba0f5030c81909efd76deb3e6017d completed May 18, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba1b94c8081909cbd256997af1dca completed May 18, 2026, 11:33 p.m.
Created at: April 17, 2026, 3:30 p.m.