Triple

T12565474
Position Surface form Disambiguated ID Type / Status
Subject Norma Talmadge E295466 entity
Predicate name P16 FINISHED
Object Norma Talmadge E295466 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: Norma Talmadge | Statement: [Norma Talmadge, name, Norma Talmadge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norma Talmadge
Context triple: [Norma Talmadge, name, Norma Talmadge]
  • A. Norma Talmadge chosen
    Norma Talmadge was a prominent American silent film actress and producer, renowned in the 1910s and 1920s for her dramatic roles and status as one of Hollywood’s biggest stars.
  • B. Constance Talmadge
    Constance Talmadge was a popular American silent film actress known for her comedic roles and vivacious screen presence in the 1910s and 1920s.
  • C. Betty Talmadge
    Betty Talmadge was an American political spouse, cookbook author, and influential figure in Georgia’s social and political circles during the mid-20th century.
  • D. Margaret L. Talmadge
    Margaret L. Talmadge was the mother of silent film star Constance Talmadge and played a key role in managing and guiding the careers of her actress daughters in early Hollywood.
  • E. Ruby Shelby
    Ruby Shelby is the young daughter of Thomas Shelby in the British television series "Peaky Blinders."
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558f87b081909ba179b49bae3913 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:49 p.m.