Triple
T14027592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge |
E337501
|
entity |
| Predicate | equivalentFormInLanguage |
P28329
|
FINISHED |
| Object |
George (English)
George (English) is a common masculine given name of Greek origin, widely used in English-speaking countries and borne by numerous historical figures, saints, and monarchs.
|
E1076441
|
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: George (English) | Statement: [Jorge, equivalentFormInLanguage, George (English)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George (English) Context triple: [Jorge, equivalentFormInLanguage, George (English)]
-
A.
Georg
Georg is the given first name of the renowned German mathematician Bernhard Riemann.
-
B.
George
George is a town in South Africa’s Western Cape province, known as a gateway to the Garden Route and for its scenic mountains and forests.
-
C.
George
George is the given name of George V of Hanover, a 19th-century King of Hanover from the House of Hanover.
-
D.
George
George is the given name of George Bellas Greenough, a pioneering 19th-century English geologist and founding figure of the Geological Society of London.
-
E.
George
George is the given first name of Pat Summerall, the famed American sportscaster and former NFL placekicker.
- 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: George (English) Triple: [Jorge, equivalentFormInLanguage, George (English)]
Generated description
George (English) is a common masculine given name of Greek origin, widely used in English-speaking countries and borne by numerous historical figures, saints, and monarchs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George (English) Target entity description: George (English) is a common masculine given name of Greek origin, widely used in English-speaking countries and borne by numerous historical figures, saints, and monarchs.
-
A.
Georg
Georg is the given first name of the renowned German mathematician Bernhard Riemann.
-
B.
George
George is a town in South Africa’s Western Cape province, known as a gateway to the Garden Route and for its scenic mountains and forests.
-
C.
George
George is the given name of George Bellas Greenough, a pioneering 19th-century English geologist and founding figure of the Geological Society of London.
-
D.
George
George is the given first name of Pat Summerall, the famed American sportscaster and former NFL placekicker.
-
E.
George
George is the given name of British journalist and editor Geordie Greig.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc333b7a08190b4f121fef69f7513 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc438f85308190ae917812686006f6 |
completed | May 7, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:20 p.m.