Triple

T4559598
Position Surface form Disambiguated ID Type / Status
Subject Will McAvoy E120559 entity
Predicate hasColleague P398 FINISHED
Object Maggie Jordan E453286 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: Maggie Jordan | Statement: [Will McAvoy, hasColleague, Maggie Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maggie Jordan
Context triple: [Will McAvoy, hasColleague, Maggie Jordan]
  • A. Maggie Jordan chosen
    Maggie Jordan is a young, idealistic associate producer whose professional growth and personal relationships are central to the narrative of the television series "The Newsroom."
  • B. Maggie Johnson
    Maggie Johnson is an American former model best known as the first wife of actor and filmmaker Clint Eastwood.
  • C. Maggie Johnson
    Maggie Johnson is one of the children of American sportscaster Ernie Johnson Jr., known to viewers through his family’s occasional appearances and mentions during his broadcasts.
  • D. Maggie Rice
    Maggie Rice is a compassionate heart surgeon in the romantic fantasy film "City of Angels," whose encounter with an angel challenges her understanding of life, love, and mortality.
  • E. Maggie Cassidy
    Maggie Cassidy is a semi-autobiographical novel by Jack Kerouac that portrays his youthful romance and coming-of-age experiences in his hometown.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0766e70819080159402ca147bf5 completed March 21, 2026, 12:04 a.m.
Created at: March 20, 2026, 1:09 p.m.