Triple

T4440863
Position Surface form Disambiguated ID Type / Status
Subject Total Recall E95766 entity
Predicate character P662 FINISHED
Object Vilos Cohaagen
Vilos Cohaagen is the ruthless and power-hungry corporate governor of Mars who serves as the main antagonist in the science fiction film "Total Recall."
E439216 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: Vilos Cohaagen | Statement: [Total Recall, character, Vilos Cohaagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilos Cohaagen
Context triple: [Total Recall, character, Vilos Cohaagen]
  • A. Ranon Ufgood
    Ranon Ufgood is a character from the fantasy film "Willow," known as one of Willow Ufgood's children in the Nelwyn village.
  • B. Garris Shrike
    Garris Shrike is a character in the Star Wars Expanded Universe, known as the abusive criminal who raised and exploited a young Han Solo.
  • C. Jost Vacano
    Jost Vacano is a German cinematographer renowned for his dynamic, technically innovative work on films such as "Das Boot," "RoboCop," and other major international productions.
  • D. Iron Felix
    Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
  • E. Barret Zoph
    Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
  • 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: Vilos Cohaagen
Triple: [Total Recall, character, Vilos Cohaagen]
Generated description
Vilos Cohaagen is the ruthless and power-hungry corporate governor of Mars who serves as the main antagonist in the science fiction film "Total Recall."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vilos Cohaagen
Target entity description: Vilos Cohaagen is the ruthless and power-hungry corporate governor of Mars who serves as the main antagonist in the science fiction film "Total Recall."
  • A. Ranon Ufgood
    Ranon Ufgood is a character from the fantasy film "Willow," known as one of Willow Ufgood's children in the Nelwyn village.
  • B. Garris Shrike
    Garris Shrike is a character in the Star Wars Expanded Universe, known as the abusive criminal who raised and exploited a young Han Solo.
  • C. Jost Vacano
    Jost Vacano is a German cinematographer renowned for his dynamic, technically innovative work on films such as "Das Boot," "RoboCop," and other major international productions.
  • D. Iron Felix
    Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
  • E. Barret Zoph
    Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61380fca08190bf036a7d82cee0e7 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b6143adefc81908f6c639906e0fd1a completed March 15, 2026, 2:06 a.m.
NED2 Entity disambiguation (via description) batch_69b614b00dbc8190a7ea0477bedbc96a completed March 15, 2026, 2:08 a.m.
Created at: March 12, 2026, 11:32 p.m.