Triple
T8907550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir George Grey |
E212099
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
George
George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
|
E766091
|
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: [Sir George Grey, givenName, George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Context triple: [Sir George Grey, 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 given name of George Stanley, 9th Baron Strange, an English nobleman and politician of the late 15th century.
-
C.
George
George is a middle-aged, embittered history professor whose caustic wit and psychological games drive the intense marital drama in Edward Albee’s play "Who’s Afraid of Virginia Woolf?".
-
D.
George
George is the given name of George Washington Gale Ferris Jr., the American engineer best known for inventing the original Ferris wheel.
-
E.
George
George is the given name of George Carnegie, 6th Earl of Northesk, a Scottish nobleman and naval officer in the Royal Navy.
- 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: [Sir George Grey, givenName, George]
Generated description
George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: George Target entity description: George is the given name of Sir George Grey, a prominent 19th-century British colonial governor and statesman.
-
A.
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.
-
B.
George
George is the given name of George Montagu-Dunk, 2nd Earl of Halifax, an influential 18th-century British statesman and colonial administrator.
-
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 name of George Spencer-Churchill, 6th Duke of Marlborough, a British aristocrat and politician of the 19th century.
-
E.
George
George is the given name of George Goring, Lord Goring, a prominent Royalist commander during the English Civil War.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c6a87c81909331a39619f913c0 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba149400819096cb93fdda440dcd |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbab0b0048190a0ad002787dddffa |
completed | April 3, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbb4f1f6881908ec9e419d175d044 |
completed | April 3, 2026, 1:06 p.m. |
Created at: March 30, 2026, 6:55 p.m.