Triple

T10360512
Position Surface form Disambiguated ID Type / Status
Subject Orosius E244120 entity
Predicate givenName P17 FINISHED
Object Paulus
Paulus is a Latin given name, historically common in the Roman world and among early Christian figures.
 E170131 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: Paulus | Statement: [Orosius, givenName, Paulus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paulus
Context triple: [Orosius, givenName, Paulus]
  • A. Paulus
    Paulus was an influential Roman jurist whose legal writings significantly shaped later compilations of Roman law.
  • B. Apostle Paul
    Apostle Paul was an early Christian missionary and theologian whose letters form a significant portion of the New Testament and profoundly shaped Christian doctrine.
  • C. Paul
    Paul is the middle-aged American widower portrayed by Marlon Brando in the controversial 1972 film "Last Tango in Paris."
  • 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 laid-back, charming sperm donor whose unexpected involvement with his biological children disrupts a lesbian couple’s family dynamic in the film "The Kids Are All Right."
  • 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: Paulus
Triple: [Orosius, givenName, Paulus]
Generated description
Paulus is a Latin given name, historically common in the Roman world and among early Christian figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paulus
Target entity description: Paulus is a Latin given name, historically common in the Roman world and among early Christian figures.
  • A. Paulus chosen
    Paulus was an influential Roman jurist whose legal writings significantly shaped later compilations of Roman law.
  • B. Apostle Paul
    Apostle Paul was an early Christian missionary and theologian whose letters form a significant portion of the New Testament and profoundly shaped Christian doctrine.
  • C. Paul
    Paul is the middle-aged American widower portrayed by Marlon Brando in the controversial 1972 film "Last Tango in Paris."
  • 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 laid-back, charming sperm donor whose unexpected involvement with his biological children disrupts a lesbian couple’s family dynamic in the film "The Kids Are All Right."
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9609c4481908b7d72ecf1adaa73 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb827cd4819094bead4304795c33 completed April 9, 2026, 7:18 p.m.
NEDg Description generation batch_69d822d303888190aa556287b3b1cc03 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859b05a3881908c97cb173d160e44 completed April 10, 2026, 2 a.m.
Created at: April 6, 2026, 11:59 a.m.