Triple

T21467482
Position Surface form Disambiguated ID Type / Status
Subject Immortality E529628 entity
Predicate hasCharacter P2308 FINISHED
Object Paul
Paul is a fictional character associated with the concept of immortality, often depicted as someone who cannot die or ages extremely slowly.
E1486313 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: Paul | Statement: [Immortality, hasCharacter, Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul
Context triple: [Immortality, hasCharacter, Paul]
  • A. Paul
    Paul is a character in the film "Her," known as Theodore Twombly’s supportive and easygoing close friend.
  • B. Paul
    Paul is the middle name of James Warburg, an American banker and financial advisor influential in early 20th-century U.S. economic policy.
  • C. Paul
    Paul is a 2011 sci-fi comedy film about two British geeks who encounter a wisecracking alien during a road trip across the United States.
  • D. Paul
    Paul is a village and civil parish in Cornwall, England, known for its historic church and coastal setting near Penzance.
  • E. Paul
    Paul is a character in the crime drama film "Never Die Alone," which follows the violent, intertwined lives of drug dealers and those around them.
  • 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: Paul
Triple: [Immortality, hasCharacter, Paul]
Generated description
Paul is a fictional character associated with the concept of immortality, often depicted as someone who cannot die or ages extremely slowly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul
Target entity description: Paul is a fictional character associated with the concept of immortality, often depicted as someone who cannot die or ages extremely slowly.
  • A. Paul
    Paul is a character from the "Wild" universe, known for his role within its adventurous, nature-centered narrative.
  • B. Paul
    Paul is a character in the crime drama film "Never Die Alone," which follows the violent, intertwined lives of drug dealers and those around them.
  • C. Paul
    Paul is a character in the film "Her," known as Theodore Twombly’s supportive and easygoing close friend.
  • D. Paul
    Paul is the central character of the story "Paul the Peddler," depicted as a resourceful young street vendor navigating the challenges of urban life.
  • E. Paul
    Paul is a central character in the psychological horror film "It Comes at Night," portrayed as a protective family man struggling to safeguard his loved ones amid a mysterious, apocalyptic threat.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f415d48190a2b0993a4f3c018f completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cff53c5c8190824b561ed79da378 completed May 17, 2026, 2:25 p.m.
NEDg Description generation batch_6a09d08ffa3c8190b5ab7e4cbf78719f completed May 17, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a09d18c77e481908a353d443d79b7ca completed May 17, 2026, 2:32 p.m.
Created at: April 16, 2026, 6:14 p.m.