Triple

T11954769
Position Surface form Disambiguated ID Type / Status
Subject Doom 3: Resurrection of Evil E284522 entity
Predicate programmer P23571 FINISHED
Object Jeff Swenty
Jeff Swenty is a video game programmer known for his work on the expansion pack Doom 3: Resurrection of Evil.
E959228 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: Jeff Swenty | Statement: [Doom 3: Resurrection of Evil, programmer, Jeff Swenty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Swenty
Context triple: [Doom 3: Resurrection of Evil, programmer, Jeff Swenty]
  • A. Brian Swardstrom
    Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
  • B. Matt Swanson
    Matt Swanson is an entrepreneur best known as a co-founder of the short-form video creation and sharing platform MixBit.
  • C. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • D. Mark Suter
    Mark Suter is a percussionist known for his work in contemporary and world music, including performances with the Silk Road Ensemble.
  • E. Keith Suter
    Keith Suter is an Australian-based futurist, international affairs analyst, and media commentator known for his work on global politics, conflict resolution, and strategic foresight.
  • 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: Jeff Swenty
Triple: [Doom 3: Resurrection of Evil, programmer, Jeff Swenty]
Generated description
Jeff Swenty is a video game programmer known for his work on the expansion pack Doom 3: Resurrection of Evil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff Swenty
Target entity description: Jeff Swenty is a video game programmer known for his work on the expansion pack Doom 3: Resurrection of Evil.
  • A. Brian Swardstrom
    Brian Swardstrom is a prominent American talent agent and partner at United Talent Agency, known for representing acclaimed actors and filmmakers.
  • B. Matt Swanson
    Matt Swanson is an entrepreneur best known as a co-founder of the short-form video creation and sharing platform MixBit.
  • C. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • D. Mark Suter
    Mark Suter is a percussionist known for his work in contemporary and world music, including performances with the Silk Road Ensemble.
  • E. Keith Suter
    Keith Suter is an Australian-based futurist, international affairs analyst, and media commentator known for his work on global politics, conflict resolution, and strategic foresight.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48a83c2448190bb40c199afef2ec2 completed May 1, 2026, 11:12 a.m.
NEDg Description generation batch_69f48df7790c8190a8e79466f032e86d completed May 1, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69f490dfe4e4819092d7494ba9b807db completed May 1, 2026, 11:39 a.m.
Created at: April 8, 2026, 9:45 p.m.