Triple
T18012805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Grant |
E430923
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Grant
Grant is a common English-language surname of Scottish origin, borne by numerous notable figures across politics, arts, and entertainment.
|
E843097
|
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: Grant | Statement: [Lawrence Grant, familyName, Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant Context triple: [Lawrence Grant, familyName, Grant]
-
A.
John
John is the given name of John Hancock, a prominent American statesman and patriot best known for his large signature on the United States Declaration of Independence.
-
B.
John
John is the given name of John Moors Cabot, an American diplomat and member of the prominent Cabot family.
-
C.
John
John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
-
D.
John
John Tavener was a British composer renowned for his spiritually inspired choral and religious works, including the widely acclaimed piece "The Protecting Veil."
-
E.
John
John Manners, Marquess of Granby, was an 18th-century British soldier and popular military leader renowned for his service in the Seven Years' War and his enduring legacy in English pub names.
- 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: Grant Triple: [Lawrence Grant, familyName, Grant]
Generated description
Grant is a common English-language surname of Scottish origin, borne by numerous notable figures across politics, arts, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grant Target entity description: Grant is a common English-language surname of Scottish origin, borne by numerous notable figures across politics, arts, and entertainment.
-
A.
Grant
Grant is a masculine given name of English origin that is commonly used in the United States and other English-speaking countries.
-
B.
Grant
Grant is a publishing company best known for releasing special and limited editions of Stephen King’s works, including volumes in The Dark Tower series.
-
C.
Grant
chosen
Grant is a common English-language surname of Scottish origin, borne by numerous notable figures in fields such as politics, entertainment, and sports.
-
D.
Grant
Grant is a fictional character portrayed by Canadian actor Justin Chatwin in film or television.
-
E.
John
John is the given name of John Hancock, a prominent American statesman and patriot best known for his large signature on the United States Declaration of Independence.
- F. None of above.
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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b520ea088190b74903f1e1ba49e2 |
completed | April 19, 2026, 10:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a034322df848190a296ad5f5dec41d4 |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a03454c6b5c8190b407625a66af2792 |
completed | May 12, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03465cc8848190953289a88a802b19 |
completed | May 12, 2026, 3:25 p.m. |
Created at: April 10, 2026, 10:24 a.m.