Triple

T762831
Position Surface form Disambiguated ID Type / Status
Subject Prince Gabriel of Belgium E16108 entity
Predicate givenName P17 FINISHED
Object Gabriel E8490 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: Gabriel | Statement: [Prince Gabriel of Belgium, givenName, Gabriel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabriel
Context triple: [Prince Gabriel of Belgium, givenName, Gabriel]
  • A. Gabriel chosen
    Gabriel is a common masculine given name of Hebrew origin, widely used in many cultures and languages.
  • B. Silas
    Silas is an early Christian leader and missionary companion of Paul, mentioned in the New Testament for his role in spreading the gospel and strengthening the early Church.
  • C. Silas
    Silas is a fanatical albino monk and key antagonist in Dan Brown’s novel "The Da Vinci Code," known for his violent devotion and self-flagellation.
  • D. Dominic
    Dominic is a central character in the romantic comedy film "Think Like a Man," portrayed as an aspiring chef and one of the men whose love life is influenced by Steve Harvey’s relationship advice.
  • E. Simeon
    Simeon is a biblical figure, one of the twelve sons of Jacob and a progenitor of one of the tribes of Israel.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6841f388190a6d08c3bf5c17fe4 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d78649c8190969a3c0c2b5a8e4d completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:37 p.m.