Triple

T12624994
Position Surface form Disambiguated ID Type / Status
Subject Maxcy Gregg E301488 entity
Predicate fullName P16 FINISHED
Object Maxcy Gregg E1164361 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: Maxcy Gregg | Statement: [Maxcy Gregg, fullName, Maxcy Gregg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maxcy Gregg
Context triple: [Maxcy Gregg, fullName, Maxcy Gregg]
  • A. Maxcy Gregg chosen
    Maxcy Gregg was a Confederate brigadier general from South Carolina, known for his leadership in the Army of Northern Virginia during the American Civil War.
  • B. Ezra Brooks
    Ezra Brooks is a Kentucky straight bourbon whiskey brand known for its traditional charcoal-mellowed profile and value-oriented offerings.
  • C. Sidney Harmon
    Sidney Harmon was an American writer and producer best known for his work on stage and screen, including providing the story that inspired the 1942 film "The Talk of the Town."
  • D. Albert S. Bickmore
    Albert S. Bickmore was a 19th-century American naturalist and museum curator best known for spearheading the creation of the American Museum of Natural History in New York City.
  • E. George Hively
    George Hively was an American film editor and screenwriter active during the early 20th century, known for his work in Hollywood studio productions.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610a897c8190a96f3c78d4b270a2 completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff8752207c81908369bce03b56b25e completed May 9, 2026, 7:13 p.m.
Created at: April 9, 2026, 5:14 p.m.