Triple

T16713697
Position Surface form Disambiguated ID Type / Status
Subject John Owen Dominis E406170 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Owen Dominis, an American-born politician who became Prince Consort of the Kingdom of Hawaii through his marriage to Queen Liliʻuokalani.
E1230156 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: John | Statement: [John Owen Dominis, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Owen Dominis, givenName, John]
  • A. John
    John Seigenthaler was an American journalist, editor, and civil rights advocate best known for his long tenure at The Tennessean and his work promoting First Amendment rights.
  • B. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • C. John
    John of Montfort was a 14th-century nobleman involved in the Breton succession disputes during the Hundred Years’ War.
  • D. John
    John III, Duke of Brittany, was a 14th-century French nobleman who ruled the Duchy of Brittany and played a key role in the succession disputes that led to the Breton War of Succession.
  • E. John
    John of Brienne was a 13th-century French nobleman who served as Grand Butler of France and played a prominent role in the kingdom’s courtly and political life.
  • 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: John
Triple: [John Owen Dominis, givenName, John]
Generated description
John is the given name of John Owen Dominis, an American-born politician who became Prince Consort of the Kingdom of Hawaii through his marriage to Queen Liliʻuokalani.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Owen Dominis, an American-born politician who became Prince Consort of the Kingdom of Hawaii through his marriage to Queen Liliʻuokalani.
  • A. John
    John is the given name of Prince Alexander John of Wales, a short-lived British royal infant of the 19th century.
  • B. John
    John is the given name of John Kitzhaber, an American politician and former governor of Oregon.
  • C. John
    John is the given name of Lord John Manners, a 19th-century British Conservative politician and member of the aristocratic Manners family.
  • D. John
    John is the given name of John Wodehouse, 1st Earl of Kimberley, a prominent 19th-century British Liberal politician and statesman.
  • E. John
    John is the given name of John Wesley Longyear, an American politician and jurist from the 19th century.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38653cdd48190863e1cc989e21f39 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d38a1348190bf51af9847a16aa5 completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a009dd925308190a82c6ef014b37333 completed May 10, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a009e9b9874819084060408cdc44d0b completed May 10, 2026, 3:04 p.m.
Created at: April 10, 2026, 5:20 a.m.