Triple

T14594496
Position Surface form Disambiguated ID Type / Status
Subject King of Kings E342522 entity
Predicate portrays P264 FINISHED
Object Barabbas E117424 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: Barabbas | Statement: [King of Kings, portrays, Barabbas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barabbas
Context triple: [King of Kings, portrays, 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 (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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43480d8819084a707e56da2c237 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c60448819098cfab7dd292f0cd completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.