Triple

T6527243
Position Surface form Disambiguated ID Type / Status
Subject Lena Dunham E151336 entity
Predicate familyName P18 FINISHED
Object Dunham E47156 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: Dunham | Statement: [Lena Dunham, familyName, Dunham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunham
Context triple: [Lena Dunham, familyName, Dunham]
  • A. Dunham chosen
    Dunham is a surname most notably associated with Ann Dunham, the American anthropologist and mother of former U.S. President Barack Obama.
  • B. Derryfield
    Derryfield was the original name of what is now the city of Manchester, New Hampshire, reflecting its early colonial settlement before industrial growth transformed it into a major mill town.
  • C. Roseland
    Roseland is a predominantly residential neighborhood on Chicago’s far South Side known for its historic roots, diverse community, and ongoing efforts at economic revitalization.
  • D. Bloomfield
    Bloomfield is a small city in southeastern Iowa that serves as the county seat of Davis County.
  • E. Bloomfield
    Bloomfield is a suburban town in Hartford County, Connecticut, located just northwest of the city of Hartford.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ada8a0e48190947616f3a09a2cba completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d52a642c8190a50988f3faf61d39 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:45 p.m.