Triple

T11172372
Position Surface form Disambiguated ID Type / Status
Subject The Kursk E264306 entity
Predicate basedOnAuthor P2806 FINISHED
Object Robert Moore
Robert Moore is a British journalist and author best known for his investigative work on the Russian submarine disaster chronicled in his book about the Kursk.
E908963 NE FINISHED

How this triple was built (4 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: Robert Moore | Statement: [The Kursk, basedOnAuthor, Robert Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Moore
Context triple: [The Kursk, basedOnAuthor, Robert Moore]
  • A. Robert Moore
    Robert Moore was an American theater and film director best known for his work on Broadway comedies and collaborations with playwright Neil Simon.
  • B. Richard Moore
    Richard Moore was an early 17th-century English colonial administrator who became the inaugural governor of Bermuda, helping to establish the island’s first formal government.
  • C. Louis Moore
    Louis Moore is a fictional character appearing in the 1977 American film "Shirley."
  • D. Robert Crawford
    Robert Crawford is a common personal name shared by various notable individuals across fields such as politics, sports, and the arts.
  • E. William Moore
    William Moore was an early settler and landowner after whom the city of Raymore, Missouri, was named.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Robert Moore
Triple: [The Kursk, basedOnAuthor, Robert Moore]
Generated description
Robert Moore is a British journalist and author best known for his investigative work on the Russian submarine disaster chronicled in his book about the Kursk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Robert Moore
Target entity description: Robert Moore is a British journalist and author best known for his investigative work on the Russian submarine disaster chronicled in his book about the Kursk.
  • A. Robert Moore
    Robert Moore was an American theater and film director best known for his work on Broadway comedies and collaborations with playwright Neil Simon.
  • B. Richard Moore
    Richard Moore was an early 17th-century English colonial administrator who became the inaugural governor of Bermuda, helping to establish the island’s first formal government.
  • C. Louis Moore
    Louis Moore is a fictional character appearing in the 1977 American film "Shirley."
  • D. Robert Crawford
    Robert Crawford is a common personal name shared by various notable individuals across fields such as politics, sports, and the arts.
  • E. William Moore
    William Moore was an early settler and landowner after whom the city of Raymore, Missouri, was named.
  • F. None of above. chosen

Provenance (5 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463b155a08190b361b38a39d25b1f completed April 19, 2026, 5:10 a.m.
NEDg Description generation batch_69e46c37efec81908aa709587c37569d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e47292cdd08190b05c4c8b09f4f918 completed April 19, 2026, 6:13 a.m.
Created at: April 8, 2026, 9:29 p.m.