Triple

T20499491
Position Surface form Disambiguated ID Type / Status
Subject Admiral Sir Rhoderick McGrigor E503262 entity
Predicate givenName P17 FINISHED
Object Rhoderick
Rhoderick is the given name of Admiral Sir Rhoderick McGrigor, a senior officer in the British Royal Navy.
 E1434195 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: Rhoderick | Statement: [Admiral Sir Rhoderick McGrigor, givenName, Rhoderick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rhoderick
Context triple: [Admiral Sir Rhoderick McGrigor, givenName, Rhoderick]
  • A. Rowland
    Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
  • B. Rowland
    Rowland is a surname of English origin borne by various notable individuals across fields such as sports, science, and the arts.
  • C. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • D. Rowarth
    Rowarth is a small rural village in the High Peak district of Derbyshire, England, known for its scenic countryside setting on the edge of the Peak District.
  • E. Mordaunt
    Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
  • 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: Rhoderick
Triple: [Admiral Sir Rhoderick McGrigor, givenName, Rhoderick]
Generated description
Rhoderick is the given name of Admiral Sir Rhoderick McGrigor, a senior officer in the British Royal Navy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rhoderick
Target entity description: Rhoderick is the given name of Admiral Sir Rhoderick McGrigor, a senior officer in the British Royal Navy.
  • A. Rowland
    Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
  • B. Rowland
    Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
  • C. Rowland
    Rowland is a surname of English origin borne by various notable individuals across fields such as sports, science, and the arts.
  • D. Rowarth
    Rowarth is a small rural village in the High Peak district of Derbyshire, England, known for its scenic countryside setting on the edge of the Peak District.
  • E. Mordaunt
    Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cc10cd08190915b6c29c6473f77 completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893bd1c508190bbba38fb36650723 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894634f748190ae0a3be77125bf03 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08958072d08190a0e4ba12c7e550ea completed May 16, 2026, 4:04 p.m.
Created at: April 16, 2026, 11:35 a.m.