Triple

T12009234
Position Surface form Disambiguated ID Type / Status
Subject Abraham Woodhull E285862 entity
Predicate cooperatedWith P435 FINISHED
Object Caleb Brewster E285864 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: Caleb Brewster | Statement: [Abraham Woodhull, cooperatedWith, Caleb Brewster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caleb Brewster
Context triple: [Abraham Woodhull, cooperatedWith, Caleb Brewster]
  • A. Caleb Brewster chosen
    Caleb Brewster was a real-life American Revolutionary War soldier and daring whaleboat captain who served as a key courier in George Washington’s Culper Spy Ring.
  • B. Caleb Jackson
    Caleb Jackson is known primarily as the son of American actor and activist Jonathan Jackson.
  • C. Caleb Colton
    Caleb Colton is the young drifter-turned-reluctant vampire protagonist of the 1987 cult horror film "Near Dark," whose struggle with his new undead nature drives the movie’s central conflict.
  • D. Caleb Lyon
    Caleb Lyon was a 19th-century American politician and designer best known for creating the Great Seal of the State of California.
  • E. Caleb Strong
    Caleb Strong was an American lawyer and statesman who served as a U.S. Senator and twice as Governor of Massachusetts in the early years of the United States.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d61a4c81909e6cb6500b61df94 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d32b0608190b261567fbd4f415e completed May 1, 2026, 12:31 p.m.
Created at: April 8, 2026, 9:46 p.m.