Triple

T1434012
Position Surface form Disambiguated ID Type / Status
Subject Vin Scully E30516 entity
Predicate givenName P17 FINISHED
Object Vincent E18457 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: Vincent | Statement: [Vin Scully, givenName, Vincent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincent
Context triple: [Vin Scully, givenName, Vincent]
  • A. Vincent chosen
    Vincent is a masculine given name of Latin origin, derived from "Vincentius," meaning "conquering" or "to conquer."
  • B. Vincenzo
    Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
  • C. Victor
    Victor is a masculine given name of Latin origin meaning "conqueror" or "winner," commonly used in many European and English-speaking countries.
  • D. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • E. Armand
    Armand is the given name of Cardinal Richelieu, the powerful 17th-century French statesman and chief minister to King Louis XIII.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4df1e3c819086646b709021d7f0 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad016e25808190880a6e637dd2590a completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.