Triple

T12217002
Position Surface form Disambiguated ID Type / Status
Subject Angelina Emily Grimké E291110 entity
Predicate givenName P17 FINISHED
Object Angelina E300797 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: Angelina | Statement: [Angelina Emily Grimké, givenName, Angelina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angelina
Context triple: [Angelina Emily Grimké, givenName, Angelina]
  • A. Angelina chosen
    Angelina is the given name of Princess Angeline, the eldest daughter of Chief Seattle and a notable figure in Seattle’s early history.
  • B. Jolie
    Jolie is a nickname for Al Jolson, the influential early 20th-century American singer and entertainer often called "the world's greatest entertainer."
  • C. Jolie Gabor
    Jolie Gabor was a Hungarian-American jeweler and socialite best known as the glamorous matriarch of the Gabor family of actresses and celebrities.
  • D. Lisa Origliasso
    Lisa Origliasso is an Australian singer-songwriter best known as one half of the pop duo The Veronicas.
  • E. Melanie Truhett
    Melanie Truhett is an American television producer and talent manager known for her work in comedy and for her long-time collaboration and marriage with comedian Brian Posehn.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa31f548190bd4f8cfe3c55614b completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.