Triple

T11780336
Position Surface form Disambiguated ID Type / Status
Subject Florence Short E280127 entity
Predicate name P16 FINISHED
Object Florence Short E280127 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: Florence Short | Statement: [Florence Short, name, Florence Short]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence Short
Context triple: [Florence Short, name, Florence Short]
  • A. Florence Short chosen
    Florence Short was an American stage and silent film actress active in the early 20th century, known for her supporting roles in several notable productions.
  • B. Florence Crawford
    Florence Crawford was an early 20th-century Pentecostal evangelist and leader who helped spread the Azusa Street Revival’s message across the United States, particularly through her work in the Pacific Northwest.
  • C. Lottie Landis
    Lottie Landis was an American silent-era film actress and the sister of actor Cullen Landis.
  • D. Florence McFadden
    Florence McFadden was the wife of American actor and vaudevillian Jack Haley, best known for his role as the Tin Man in the classic film "The Wizard of Oz."
  • E. Florence Williamson
    Florence Williamson is a film editor known for her work on the 1972 musical historical comedy film "1776."
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5623f708190a18aea570577a3f6 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f130e5a21881909b59e39cd96ec676 completed April 28, 2026, 10:12 p.m.
Created at: April 8, 2026, 9:42 p.m.