Triple

T2255441
Position Surface form Disambiguated ID Type / Status
Subject Wren Alexander Stephens E49711 entity
Predicate familyName P18 FINISHED
Object Stephens E117939 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: Stephens | Statement: [Wren Alexander Stephens, familyName, Stephens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephens
Context triple: [Wren Alexander Stephens, familyName, Stephens]
  • A. Stephens chosen
    Stephens is a common English-language surname borne by numerous notable individuals across fields such as politics, sports, arts, and academia.
  • B. Robert Stephens
    Robert Stephens is the anglicized name of Robert Estienne, a renowned 16th-century French printer and classical scholar noted for his critical editions of the Bible and Latin texts.
  • C. Miles Theodore Stephens
    Miles Theodore Stephens is the son of model and television personality Chrissy Teigen and singer-songwriter John Legend.
  • D. Stewart
    Stewart is a common Scottish-origin surname borne by numerous notable figures across politics, law, the arts, and entertainment.
  • E. William Stephens
    William Stephens was an American politician who served as the 24th governor of California from 1917 to 1923.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1fc8808190aebc534ea5adb534 completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.