Triple

T16769026
Position Surface form Disambiguated ID Type / Status
Subject Syntyche E407541 entity
Predicate praisedBy P11240 FINISHED
Object Apostle Paul E8385 NE FINISHED

How this triple was built (2 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: Apostle Paul | Statement: [Syntyche, praisedBy, Apostle Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apostle Paul
Context triple: [Syntyche, praisedBy, Apostle Paul]
  • A. Apostle Paul chosen
    Apostle Paul was an early Christian missionary and theologian whose letters form a significant portion of the New Testament and profoundly shaped Christian doctrine.
  • B. Paulus
    Paulus was an influential Roman jurist whose legal writings significantly shaped later compilations of Roman law.
  • C. Andrew the Apostle
    Andrew the Apostle was one of the twelve disciples of Jesus, traditionally regarded as the first-called apostle and a key figure in early Christianity.
  • D. Apostle John
    Apostle John was one of Jesus Christ’s closest disciples, traditionally regarded as the author of the Gospel of John, three New Testament epistles, and the Book of Revelation.
  • E. Paul
    Paul is a character in the film "Her," known as Theodore Twombly’s supportive and easygoing close friend.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0349bc88190938750f1e5af192a completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012327b68881908ad5f4e2fe03f56a completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:21 a.m.