Triple

T15390633
Position Surface form Disambiguated ID Type / Status
Subject The Sisterhood of the Traveling Pants E368034 entity
Predicate author P4 FINISHED
Object Ann Brashares E1064782 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: Ann Brashares | Statement: [The Sisterhood of the Traveling Pants, author, Ann Brashares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Brashares
Context triple: [The Sisterhood of the Traveling Pants, author, Ann Brashares]
  • A. Ann Brashares chosen
    Ann Brashares is an American author best known for writing the young adult "Sisterhood of the Traveling Pants" novel series.
  • B. Maureen Johnson
    Maureen Johnson is a flamboyant, performance-artist character in the musical "Rent," known for her dramatic personality and complex romantic relationships.
  • C. Sarah Condon
    Sarah Condon is a television producer best known for her work as an executive producer on acclaimed HBO series such as "Looking" and "Bored to Death."
  • D. Meg Cabot
    Meg Cabot is an American author best known for her popular young adult novels, particularly the bestselling "The Princess Diaries" series.
  • E. Meg Rosoff
    Meg Rosoff is an American-born British author best known for her award-winning young adult novels that often explore dark, complex themes with a distinctive, lyrical style.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7727a081908eff45bbc1633c8a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134e37d881909f373b90a99fc067 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.