Triple

T14413573
Position Surface form Disambiguated ID Type / Status
Subject Underwater E357390 entity
Predicate writer P1360 FINISHED
Object Adam Cozad E570590 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: Adam Cozad | Statement: [Underwater, writer, Adam Cozad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Cozad
Context triple: [Underwater, writer, Adam Cozad]
  • A. Adam Cozad chosen
    Adam Cozad is an American screenwriter best known for writing major Hollywood action and adventure films, including "The Legend of Tarzan" and "Jack Ryan: Shadow Recruit."
  • B. Robert Henry Cozad
    Robert Henry Cozad was an American painter and influential art teacher who became a leading figure of the Ashcan School under the name Robert Henri.
  • C. Chivington
    Chivington is a surname most notably associated with John M. Chivington, a controversial U.S. Army officer involved in the Sand Creek Massacre during the American Civil War era.
  • D. Fort Larned
    Fort Larned is a historic 19th-century U.S. Army post in Kansas that protected commerce and travel along the Santa Fe Trail.
  • E. Custer
    Custer is a surname most famously associated with George Armstrong Custer, the U.S. Army officer and cavalry commander who died at the Battle of the Little Bighorn.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd552858208190ba1550e7c1176a2a completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:17 a.m.