Triple

T5090214
Position Surface form Disambiguated ID Type / Status
Subject Psalm 16:10 E114733 entity
Predicate quotedBy P9877 FINISHED
Object 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: Paul | Statement: [Psalm 16:10, quotedBy, Paul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul
Context triple: [Psalm 16:10, quotedBy, Paul]
  • A. Paul
    Paul is a masculine given name of Latin origin, widely used in many Western and Christian-influenced cultures.
  • B. Paul
    Paul is the middle-aged American widower portrayed by Marlon Brando in the controversial 1972 film "Last Tango in Paris."
  • C. 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."
  • D. Paulus
    Paulus was an influential Roman jurist whose legal writings significantly shaped later compilations of Roman law.
  • E. 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.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75407e6881908d00377a256ff37e completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1489ffc8190af95b90debb88d63 completed March 21, 2026, 2:55 p.m.
Created at: March 20, 2026, 1:40 p.m.