Triple

T15066060
Position Surface form Disambiguated ID Type / Status
Subject Ben-Hur: A Tale of the Christ E379757 entity
Predicate hasCharacter P2308 FINISHED
Object Messala E378709 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: Messala | Statement: [Ben-Hur: A Tale of the Christ, hasCharacter, Messala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Messala
Context triple: [Ben-Hur: A Tale of the Christ, hasCharacter, Messala]
  • A. Messala chosen
    Messala is the ambitious and ruthless Roman antagonist in the 1925 silent film adaptation of "Ben-Hur: A Tale of the Christ," whose betrayal of his childhood friend Judah Ben-Hur drives the central conflict.
  • B. Pantaleoni
    Pantaleoni is an Italian surname notably borne by American actress Téa Leoni.
  • C. Kalliaros
    Kalliaros was an ancient Greek city located in the region of Opuntian Locris in central Greece.
  • D. Menides
    Menides was an ancient Greek from Antioch on the Maeander, known primarily as the father of Alexandros mentioned in historical records.
  • E. Megaris
    Megaris was an ancient Greek region in central Greece, situated between Attica and Corinthia and centered around the city-state of Megara.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeea750c819082d8823c9ab6c5a2 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae11d6648190bc9b5d4f520d694b completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:02 a.m.