Triple

T12674121
Position Surface form Disambiguated ID Type / Status
Subject Victoria Gray Adams E302760 entity
Predicate alsoKnownAs P39 FINISHED
Object Victoria Gray E302760 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: Victoria Gray | Statement: [Victoria Gray Adams, alsoKnownAs, Victoria Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Gray
Context triple: [Victoria Gray Adams, alsoKnownAs, Victoria Gray]
  • A. Victoria Gray chosen
    Victoria Gray was a prominent civil rights activist and organizer who played a leading role in challenging racial discrimination and political exclusion in Mississippi during the 1960s.
  • B. Virginia Gray
    Virginia Gray is a notable individual recognized for her contributions in her respective field, distinguished enough to be cited as a prominent bearer of the surname Gray.
  • C. Rose Gray
    Rose Gray was a renowned British chef and restaurateur, best known as co-founder of London's River Café and for her influential modern Italian cookbooks.
  • D. Nancy Grey
    Nancy Grey is a fictional character from the film "Red Dog," contributing to the story’s emotional depth and relationships surrounding the legendary kelpie.
  • E. Clarissa Brown
    Clarissa Brown was the wife of American explorer and soldier Zebulon Pike, known for her connection to his early 19th-century expeditions and military career.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961af991c8190b6079cb57e593b8f completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a163188190b6077c77f9a81681 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.