Triple
T21096957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Anson Byron, 7th Baron Byron |
E519792
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
George
George is the given name of George Anson Byron, 7th Baron Byron, a British nobleman and naval officer related to the poet Lord Byron.
|
E1466375
|
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 | Statement: [George Anson Byron, 7th Baron Byron, givenName, George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Context triple: [George Anson Byron, 7th Baron Byron, givenName, George]
-
A.
George
George is the given name of George Habash, the Palestinian Christian physician and founder of the Popular Front for the Liberation of Palestine.
-
B.
George
George is the given first name of the American gangster Bugs Moran, a prominent Prohibition-era mobster in Chicago.
-
C.
George
George is the given name of the British historian George Macaulay Trevelyan, known for his influential works on English and Italian history.
-
D.
George
George is the given name of George North, 3rd Earl of Guilford, a British peer from the late 18th and early 19th centuries.
-
E.
George
George is the given name of George Winslow, an American child actor known for his distinctive raspy voice in 1950s films.
- 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 Triple: [George Anson Byron, 7th Baron Byron, givenName, George]
Generated description
George is the given name of George Anson Byron, 7th Baron Byron, a British nobleman and naval officer related to the poet Lord Byron.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Target entity description: George is the given name of George Anson Byron, 7th Baron Byron, a British nobleman and naval officer related to the poet Lord Byron.
-
A.
George
George is the given name of the famed Romantic poet George Gordon Byron, 6th Baron Byron.
-
B.
George
George is the given name of George Spencer, 4th Duke of Marlborough, an 18th-century British nobleman and politician.
-
C.
George
George is the given name of Sir George Collier, a British Royal Navy officer known for his service during the late 18th and early 19th centuries.
-
D.
George
George is the given name of George Townshend, 2nd Marquess Townshend, a British nobleman and politician of the late 18th and early 19th centuries.
-
E.
George
George is the given name of George Spencer-Churchill, 6th Duke of Marlborough, a British aristocrat and politician of 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b595cdc8190ba7a6f3f71d40c3f |
completed | April 21, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a095a5879d88190ac29a01da51ea009 |
completed | May 17, 2026, 6:04 a.m. |
| NEDg | Description generation | batch_6a095c017bec81909fd6c73a0fb677df |
completed | May 17, 2026, 6:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a095cee4c308190a08844f285231ff9 |
completed | May 17, 2026, 6:15 a.m. |
Created at: April 16, 2026, 2:52 p.m.