Triple

T11318683
Position Surface form Disambiguated ID Type / Status
Subject Hosanna E268032 entity
Predicate featuresCharacter P626 FINISHED
Object Annas E119507 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: Annas | Statement: [Hosanna, featuresCharacter, Annas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annas
Context triple: [Hosanna, featuresCharacter, Annas]
  • A. Annas chosen
    Annas was a powerful former Jewish high priest and influential religious leader in Jerusalem who played a key role in the events leading to the crucifixion of Jesus.
  • B. Simon ben Boethus
    Simon ben Boethus was a Jewish high priest of the late Second Temple period and father-in-law of Herod the Great through his daughter Mariamne II.
  • C. Ioudas
    Ioudas is the Greek form of the biblical name Judah, one of the twelve sons of Jacob and a patriarch of one of the tribes of Israel.
  • D. Matthaeus
    Matthaeus is the Latin form of the given name Matthew, commonly associated with the biblical apostle and evangelist.
  • E. Gamaliel
    Gamaliel is the middle name of Warren G. Harding, the 29th president of the United States.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525d3160c8190b58c5c04a66b3e3e completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.