Triple

T2388007
Position Surface form Disambiguated ID Type / Status
Subject Monica Shorter E48873 entity
Predicate name P16 FINISHED
Object Monica Shorter E48873 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: Monica Shorter | Statement: [Monica Shorter, name, Monica Shorter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica Shorter
Context triple: [Monica Shorter, name, Monica Shorter]
  • A. Monica Shorter chosen
    Monica Shorter is a person notable enough to be recognized as a bearer of the surname Shorter.
  • B. Monica Morgan
    Monica Morgan is a notable member of the Yorta Yorta people, recognized for her contributions to Indigenous Australian community leadership and advocacy.
  • C. Ana Maria Shorter
    Ana Maria Shorter was the wife of renowned jazz saxophonist and composer Wayne Shorter and a significant presence in his personal and artistic life.
  • D. Monica Collingwood
    Monica Collingwood was an American film editor known for her work on classic Hollywood films, including the 1947 romantic comedy "The Bishop's Wife."
  • E. Monica De La Cruz
    Monica De La Cruz is a Republican politician and U.S. Representative from South Texas, known for being the first Latina Republican elected to Congress from the Rio Grande Valley region.
  • 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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc7db4ee08190a5c114e42bc46f70 completed March 7, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3cf53088190ba42e03d2de2b36e completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.