Triple

T20480617
Position Surface form Disambiguated ID Type / Status
Subject Jesus Barabbas E502440 entity
Predicate nameVariant P744 FINISHED
Object Barabbas NE NERFINISHED

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: Barabbas | Statement: [Jesus Barabbas, nameVariant, Barabbas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barabbas
Context triple: [Jesus Barabbas, nameVariant, Barabbas]
  • A. Barabbas chosen
    Barabbas is a figure in the New Testament Gospels who was imprisoned for insurrection and released by Pontius Pilate instead of Jesus at the crowd’s demand.
  • B. Ben-Hur
    Ben-Hur is a 1959 epic historical drama film renowned for its grand scale, record-setting 11 Academy Awards, and iconic chariot race sequence.
  • C. Acts of Pilate
    Acts of Pilate is an early Christian apocryphal text that purports to record Pontius Pilate’s official report on the trial, crucifixion, and resurrection of Jesus.
  • D. Messala in Ben-Hur
    Messala in Ben-Hur is the ambitious and ruthless Roman officer whose betrayal of his childhood friend Judah Ben-Hur drives the central conflict of the 1959 epic film.
  • E. Quo Vadis
    "Quo Vadis" is a significant work by science historian and author George Dyson, reflecting his explorations of technology, computation, and their impact on human society.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b56dd248190b6bc4e513aff3c9c completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.