Triple

T1360119
Position Surface form Disambiguated ID Type / Status
Subject Herman Talmadge E29079 entity
Predicate familyName P18 FINISHED
Object Talmadge E29079 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: Talmadge | Statement: [Herman Talmadge, familyName, Talmadge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talmadge
Context triple: [Herman Talmadge, familyName, Talmadge]
  • A. Arthur Talmadge
    Arthur Talmadge was an American record executive and music industry figure best known for co-founding the influential label Mercury Records.
  • B. Herman Talmadge chosen
    Herman Talmadge was a prominent mid-20th-century Georgia politician who served as both governor and U.S. senator, known for his staunch segregationist views and influential role in Southern politics.
  • C. Wren Alexander Stephens
    Wren Alexander Stephens is the son of model and television personality Chrissy Teigen and musician John Legend.
  • D. William Gibbons
    William Gibbons was an early 17th-century English navigator and explorer associated with Arctic and Northwest Passage voyages.
  • E. Walter F. George
    Walter F. George was a long-serving Democratic U.S. Senator from Georgia known for his influential roles in foreign policy and finance during the mid-20th century.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b156b081909c99ada70a969fc0 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0e63b3f88190b34fb0407e1f03d5 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:56 p.m.