Triple

T16637790
Position Surface form Disambiguated ID Type / Status
Subject 1 Corinthians 16 E404252 entity
Predicate mentionsPerson P831 FINISHED
Object Priscilla E26735 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: Priscilla | Statement: [1 Corinthians 16, mentionsPerson, Priscilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Priscilla
Context triple: [1 Corinthians 16, mentionsPerson, Priscilla]
  • A. Priscilla
    Priscilla is a biographical drama film that portrays the life and relationship of Priscilla Presley with Elvis Presley, adapted from her memoir.
  • B. Priscilla
    Priscilla is the iconic tour bus central to the plot and visual identity of the film "The Adventures of Priscilla, Queen of the Desert."
  • C. Priscilla chosen
    Priscilla is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • D. Priscilla
    Priscilla was an early Christian prophetess associated with the Montanist movement, known for her ecstatic visions and role in its prophetic leadership.
  • E. Priscilla
    "Priscilla" is a well-known 19th-century painting by American artist George Fuller, recognized for its evocative, atmospheric portrayal of a young woman.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378eb07388190a10e896bae7f098e completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc28df48190b01c1328df24df60 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:18 a.m.