Triple
T23367890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Talbot, 4th Earl of Shrewsbury |
E593374
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
George
George is the given name of George Talbot, 4th Earl of Shrewsbury, a prominent English nobleman and statesman of the Tudor period.
|
E1583132
|
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 Talbot, 4th Earl of Shrewsbury, givenName, George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Context triple: [George Talbot, 4th Earl of Shrewsbury, givenName, George]
-
A.
George
George is the given first name of the fictional character Gob Bluth from the television series "Arrested Development."
-
B.
George
George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
-
C.
George
George is the given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
-
D.
George
George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
-
E.
George
George is the given name of Lord George Murray, a prominent Scottish Jacobite general during the 18th-century uprisings.
- 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 Talbot, 4th Earl of Shrewsbury, givenName, George]
Generated description
George is the given name of George Talbot, 4th Earl of Shrewsbury, a prominent English nobleman and statesman of the Tudor period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Target entity description: George is the given name of George Talbot, 4th Earl of Shrewsbury, a prominent English nobleman and statesman of the Tudor period.
-
A.
George
George is the given name of George Gordon, 4th Earl of Huntly, a prominent 16th-century Scottish nobleman and political figure.
-
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 George Villiers, 1st Earl of Clarendon, a prominent 17th-century English statesman and royal advisor.
-
D.
George
George is the given name of George Hastings, 1st Earl of Huntingdon of the second creation, an English nobleman of the Tudor period.
-
E.
George
George is the given name of George North, 3rd Earl of Guilford, a British peer from the late 18th and early 19th centuries.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0ad621881908a909f236e6e9c90 |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dcfa8248190a55172c9784d804a |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c60283668819096076b1bf406eaa0 |
completed | May 19, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c60b52fe88190854803902df750c5 |
completed | May 19, 2026, 1:08 p.m. |
Created at: April 17, 2026, 5:32 p.m.