Triple

T2454005
Position Surface form Disambiguated ID Type / Status
Subject Jim Nantz E53773 entity
Predicate notableAchievement P477 FINISHED
Object served as primary voice of the NCAA men’s Final Four on CBS for many years LITERAL FINISHED

How this triple was built (1 step)

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: served as primary voice of the NCAA men’s Final Four on CBS for many years | Statement: [Jim Nantz, notableAchievement, served as primary voice of the NCAA men’s Final Four on CBS for many years]

Provenance (2 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f7f85c8190a60970b6adb7fe80 completed March 7, 2026, 7:17 a.m.
Created at: March 6, 2026, 9:44 p.m.