Triple

T6955984
Position Surface form Disambiguated ID Type / Status
Subject Maggie Greene E161243 entity
Predicate sibling P363 FINISHED
Object Beth Greene E214471 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: Beth Greene | Statement: [Maggie Greene, sibling, Beth Greene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beth Greene
Context triple: [Maggie Greene, sibling, Beth Greene]
  • A. Beth Greene chosen
    Beth Greene is a gentle yet resilient young survivor and aspiring singer from the television series "The Walking Dead."
  • B. Gillian Greene
    Gillian Greene is an American actress and filmmaker, known for her work in film and television and for being married to director Sam Raimi.
  • C. Patty Greene
    Patty Greene is the socially awkward yet witty teenage protagonist of the early 1980s sitcom "Square Pegs," known for her attempts to fit into high school cliques.
  • D. Ann Terry Greene
    Ann Terry Greene was the wife of prominent American abolitionist and orator Wendell Phillips, known for her support of his reform work in the 19th century.
  • E. Kym Buchman
    Kym Buchman is the troubled, recovering addict at the emotional center of the film "Rachel Getting Married," whose return home for her sister’s wedding exposes deep family tensions and unresolved grief.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dacf8c8c8190a25dbacebeb4b66e completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75888d48c81908a8dbd16d7591b55 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.