Triple
T14975372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John IV of Portugal |
E373432
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John IV of Portugal was a 17th-century Portuguese king who restored the country’s independence from Spain and founded the Braganza dynasty.
|
E373432
|
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 IV of Portugal, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John IV of Portugal, givenName, John]
-
A.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
B.
John
John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
-
C.
John
John is the given name of John Adams, the second president of the United States and a prominent Founding Father.
-
D.
John
John is the given name of John C. Sheehan, an American organic chemist renowned for achieving the first complete laboratory synthesis of penicillin.
-
E.
John
John is the given name of John Bowen, a British novelist and playwright known for his crime and speculative fiction.
- 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 IV of Portugal, givenName, John]
Generated description
John IV of Portugal was a 17th-century Portuguese king who restored the country’s independence from Spain and founded the Braganza dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John IV of Portugal was a 17th-century Portuguese king who restored the country’s independence from Spain and founded the Braganza dynasty.
-
A.
John
chosen
John IV of Portugal was a 17th-century Portuguese king who restored the country's independence from Spain and founded the Braganza dynasty.
-
B.
John
John was a Portuguese royal who held the title of Prince of Brazil and later became King John VI of Portugal.
-
C.
John
John is the given name of John II of Portugal, the 15th-century king known for strengthening royal authority and advancing Portuguese exploration.
-
D.
John
John, Constable of Portugal, was a prominent 15th-century Portuguese nobleman and military leader known for his role in the consolidation of the Avis dynasty.
-
E.
John
John was a historical Prince of Asturias, the traditional title for the heir apparent to the Spanish throne.
- F. None of above.
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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e8733081908e06b53746eb6eb6 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe968f25e08190bfbf7a3541f79add |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97eccdf081909a94e214900ea0c2 |
completed | May 9, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe9882aeac819095d432079b8268c5 |
completed | May 9, 2026, 2:14 a.m. |
Created at: April 10, 2026, 2:51 a.m.