Triple

T16868803
Position Surface form Disambiguated ID Type / Status
Subject 1 Corinthians 1 E410114 entity
Predicate mentionsPerson P831 FINISHED
Object Paul
Paul is an early Christian apostle and missionary, traditionally regarded as the author of many New Testament letters and a foundational figure in the spread of Christianity.
E1224497 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: [1 Corinthians 1, mentionsPerson, Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul
Context triple: [1 Corinthians 1, mentionsPerson, 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 a 2011 sci-fi comedy film about two British geeks who encounter a wisecracking alien during a road trip across the United States.
  • C. Paul
    Paul is a village and civil parish in Cornwall, England, known for its historic church and coastal setting near Penzance.
  • D. 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.
  • 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
  • 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: [1 Corinthians 1, mentionsPerson, Paul]
Generated description
Paul is an early Christian apostle and missionary, traditionally regarded as the author of many New Testament letters and a foundational figure in the spread of Christianity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul
Target entity description: Paul is an early Christian apostle and missionary, traditionally regarded as the author of many New Testament letters and a foundational figure in the spread of Christianity.
  • A. Paul chosen
    Paul is a central early Christian apostle and missionary, traditionally credited with writing many New Testament letters and shaping much of Christian theology.
  • B. Paul
    Paul is an early Christian apostle and missionary whose letters form a significant portion of the New Testament and profoundly shaped Christian theology.
  • C. Paul
    Paul is a masculine given name of Latin origin, widely used in many Western and Christian-influenced cultures.
  • 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 character in the film "Her," known as Theodore Twombly’s supportive and easygoing close friend.
  • F. None of above.

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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50a82348190b3e33fd558aa3c7f completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2aba8c481908f5ff1ddc4b255cb completed May 10, 2026, 5:38 p.m.
NEDg Description generation batch_6a00c3b4a36c8190804b8616958002fc completed May 10, 2026, 5:43 p.m.
NED2 Entity disambiguation (via description) batch_6a00c434d8f88190a71c1c4c8e475e33 completed May 10, 2026, 5:45 p.m.
Created at: April 10, 2026, 5:24 a.m.