Triple

T1932724
Position Surface form Disambiguated ID Type / Status
Subject John Legend E40980 entity
Predicate birthName P65 FINISHED
Object John Roger Stephens E21690 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: John Roger Stephens | Statement: [John Legend, birthName, John Roger Stephens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Roger Stephens
Context triple: [John Legend, birthName, John Roger Stephens]
  • A. John Roger Stephens chosen
    John Roger Stephens, better known as John Legend, is an American singer, songwriter, pianist, and actor renowned for his soulful R&B music and multiple Grammy Awards.
  • B. John Dustin Archbold
    John Dustin Archbold was an American industrialist and key executive of the Standard Oil Company who became one of the most prominent figures in the early U.S. petroleum industry.
  • C. Christian Ross
    Christian Ross was the wife of Scottish poet Allan Ramsay, known primarily through her connection to the influential 18th-century literary figure.
  • D. Trent Stevens
    Trent Stevens is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Stevens.
  • E. Matthew Robbins
    Matthew Robbins is an American screenwriter and filmmaker known for his work on genre films such as Crimson Peak, Dragonslayer, and collaborations with directors like Guillermo del Toro.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb299f3c48190a5021d320ded4405 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbb52d04819097c3df9691551aaa completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.