Triple

T16156254
Position Surface form Disambiguated ID Type / Status
Subject Miami Sol E392049 entity
Predicate notablePlayer P304 FINISHED
Object Betty Lennox E1140341 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: Betty Lennox | Statement: [Miami Sol, notablePlayer, Betty Lennox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty Lennox
Context triple: [Miami Sol, notablePlayer, Betty Lennox]
  • A. Betty Lennox chosen
    Betty Lennox is a former American professional basketball guard best known for her standout WNBA career, including an All-Star selection and a Finals MVP award.
  • B. Betty Lawford
    Betty Lawford was a British-born film actress of the early 20th century who appeared in Hollywood productions during the 1930s.
  • C. Beryl Mercer
    Beryl Mercer was a British-born character actress known for her maternal and supporting roles in early 20th-century stage and Hollywood films.
  • D. Belinda Bromilow
    Belinda Bromilow is an Australian actress known for her work in television, film, and theatre, including a prominent role in the satirical historical series "The Great."
  • E. Madge Sinclair
    Madge Sinclair was a Jamaican-born actress best known for her commanding supporting roles in film and television, including notable performances in works like "Roots" and "The Lion King."
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5aa57c8190a9d89dd57e30318f completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ae46dc81908cba9152a6080c3a completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.