Triple

T4676290
Position Surface form Disambiguated ID Type / Status
Subject Amasa Delano E103688 entity
Predicate givenName P17 FINISHED
Object Amasa E103688 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: Amasa | Statement: [Amasa Delano, givenName, Amasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amasa
Context triple: [Amasa Delano, givenName, Amasa]
  • A. Isaiah Bradley
    Isaiah Bradley is a Marvel Comics character who became an early, covert Captain America figure after being subjected to experimental super-soldier treatments on African American soldiers.
  • B. Amasa Stone
    Amasa Stone was a prominent 19th-century American industrialist and railroad magnate based in Cleveland, Ohio.
  • C. Ephraim Hart
    Ephraim Hart was an early American merchant and broker who was among the founders of what became the New York Stock Exchange.
  • D. Abijah
    Abijah was a king of Judah in the Hebrew Bible, known for his brief reign following his father Rehoboam and his conflicts with the northern kingdom of Israel.
  • E. Amasa Delano chosen
    Amasa Delano was an American sea captain and explorer best known for his 1817 memoir "A Narrative of Voyages and Travels," which inspired Herman Melville’s novella "Benito Cereno."
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63685cb88190ac1904e2c7eb6b61 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be039c4c58819099e93e01badbade5 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.