Triple

T7518779
Position Surface form Disambiguated ID Type / Status
Subject Gardner family E177712 entity
Predicate hasMember P10 FINISHED
Object Melvin Gardner E177712 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: Melvin Gardner | Statement: [Gardner family, hasMember, Melvin Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melvin Gardner
Context triple: [Gardner family, hasMember, Melvin Gardner]
  • A. Melvin Gardner chosen
    Melvin Gardner was the brother of famed American actress Ava Gardner and a member of the Gardner family from North Carolina.
  • B. Leo J. Frachtenberg
    Leo J. Frachtenberg was an early 20th-century American anthropologist and linguist known for his documentation and analysis of Native American languages of the Pacific Northwest, including Siuslaw.
  • C. Thomas Gardner
    Thomas Gardner is a relatively common personal name shared by multiple historical and contemporary figures across politics, sports, and other fields.
  • D. Gardner James
    Gardner James was an American film actor active during the silent and early sound eras, known for supporting roles in adventure and drama films.
  • E. Alvin Marks
    Alvin Marks was an American inventor known for his work on advanced energy technologies and high-efficiency lighting concepts.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f850c081909e697219071293fc completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b10cbc8190a36be8351feaf832 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:46 p.m.