Triple

T19268512
Position Surface form Disambiguated ID Type / Status
Subject Dr. Zander Rice (Logan) E481853 entity
Predicate affiliation P10 FINISHED
Object Transigen
Transigen is a secretive biotech corporation in the X-Men/Logan universe that conducts unethical genetic experiments to create and control mutant weapons.
 E1368225 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: Transigen | Statement: [Dr. Zander Rice (Logan), affiliation, Transigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Transigen
Context triple: [Dr. Zander Rice (Logan), affiliation, Transigen]
  • A. Innogen
    Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
  • B. Genex
    Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
  • C. Kymab
    Kymab is a biotechnology company based in Cambridge, UK, focused on developing antibody-based therapeutics using its proprietary transgenic mouse platforms.
  • D. Ventris
    Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
  • E. Morgex
    Morgex is a small Alpine town and comune in Italy’s Aosta Valley, known for its mountain scenery and production of high-altitude white wines.
  • 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: Transigen
Triple: [Dr. Zander Rice (Logan), affiliation, Transigen]
Generated description
Transigen is a secretive biotech corporation in the X-Men/Logan universe that conducts unethical genetic experiments to create and control mutant weapons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Transigen
Target entity description: Transigen is a secretive biotech corporation in the X-Men/Logan universe that conducts unethical genetic experiments to create and control mutant weapons.
  • A. Innogen
    Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
  • B. Genex
    Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
  • C. Kymab
    Kymab is a biotechnology company based in Cambridge, UK, focused on developing antibody-based therapeutics using its proprietary transgenic mouse platforms.
  • D. Ventris
    Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
  • E. Morgex
    Morgex is a small Alpine town and comune in Italy’s Aosta Valley, known for its mountain scenery and production of high-altitude white wines.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb68d0c819083ba0ce680dd7d99 completed April 20, 2026, 10:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e70bf7881909674b254e7968b55 completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070f8b626c819083a31123cd6035cf completed May 15, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a071018f61881908ace460b83dac186 completed May 15, 2026, 12:22 p.m.
Created at: April 10, 2026, 1:29 p.m.