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.