Triple

T438434
Position Surface form Disambiguated ID Type / Status
Subject Tim Mara E10061 entity
Predicate givenName P17 FINISHED
Object Timothy E5498 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: Timothy | Statement: [Tim Mara, givenName, Timothy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timothy
Context triple: [Tim Mara, givenName, Timothy]
  • A. Timothy chosen
    Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
  • B. Timothy
    Timothy is a prominent early Christian companion and protégé of the Apostle Paul, known from the New Testament for his missionary work and pastoral leadership.
  • C. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Caleb
    Caleb is a male given name of Hebrew origin meaning "devotion" or "whole-hearted," commonly used in English-speaking countries.
  • E. Kenneth
    Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef283be881909444aaf257451747 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4cc5868d88190bb0b107fb820aafe completed March 1, 2026, 11:31 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.