Triple
T20264127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bartolomé Mitre |
E498919
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mitre
Mitre is a Spanish-origin surname most notably associated with Bartolomé Mitre, an Argentine president, military leader, and historian.
|
E1420208
|
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: Mitre | Statement: [Bartolomé Mitre, familyName, Mitre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitre Context triple: [Bartolomé Mitre, familyName, Mitre]
-
A.
Mitre
Mitre is a prominent mountain peak in New Zealand’s Tararua Range, noted for being the range’s highest summit and a popular destination for experienced trampers.
-
B.
Brixia
Brixia is the ancient Roman name for the Italian city of Brescia, historically known as an important settlement in northern Italy.
-
C.
Syon
Syon is a historic district in west London best known for Syon House and its surrounding parkland, the London home of the Duke of Northumberland.
-
D.
Mulhousien
Mulhousien is the French term for an inhabitant or native of the city of Mulhouse in northeastern France.
-
E.
Thusis
Thusis is a municipality in the Swiss canton of Graubünden, known as a regional transport hub and gateway to the Viamala Gorge in the Hinterrhein valley.
- 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: Mitre Triple: [Bartolomé Mitre, familyName, Mitre]
Generated description
Mitre is a Spanish-origin surname most notably associated with Bartolomé Mitre, an Argentine president, military leader, and historian.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mitre Target entity description: Mitre is a Spanish-origin surname most notably associated with Bartolomé Mitre, an Argentine president, military leader, and historian.
-
A.
Mitre
Mitre is a prominent mountain peak in New Zealand’s Tararua Range, noted for being the range’s highest summit and a popular destination for experienced trampers.
-
B.
Brixia
Brixia is the ancient Roman name for the Italian city of Brescia, historically known as an important settlement in northern Italy.
-
C.
Syon
Syon is a historic district in west London best known for Syon House and its surrounding parkland, the London home of the Duke of Northumberland.
-
D.
Mulhousien
Mulhousien is the French term for an inhabitant or native of the city of Mulhouse in northeastern France.
-
E.
Thusis
Thusis is a municipality in the Swiss canton of Graubünden, known as a regional transport hub and gateway to the Viamala Gorge in the Hinterrhein valley.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ce27688190b31d7a6c98d3ec5e |
completed | April 20, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08553381308190b02328d2bc95fa89 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855fad28c81908c1516b64b8b1dc8 |
completed | May 16, 2026, 11:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08569e603881908e28fec3e8f5f5aa |
completed | May 16, 2026, 11:35 a.m. |
Created at: April 11, 2026, 11:41 p.m.