Triple
T16759055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grant Williams |
E407290
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Grant
Grant is a masculine given name of English origin commonly used in English-speaking countries.
|
E182443
|
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: [Grant Williams, givenName, Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grant Context triple: [Grant Williams, givenName, Grant]
-
A.
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.
-
B.
John
John is the given name of Prince Alexander John of Wales, a short-lived British royal infant of the 19th century.
-
C.
John
John is the given name of Lord John Townshend, an 18th–19th century British Whig politician and member of the influential Townshend family.
-
D.
John
John Laurie was a Scottish actor best known for his role as Private Frazer in the British television sitcom "Dad's Army."
-
E.
John
John of Islay, Earl of Ross, was a 15th-century Scottish nobleman and Lord of the Isles who played a significant role in the politics of the Scottish Highlands and western seaboard.
- 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: [Grant Williams, givenName, Grant]
Generated description
Grant is a masculine given name of English origin commonly used in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grant Target entity description: Grant is a masculine given name of English origin commonly used in English-speaking countries.
-
A.
Grant
chosen
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
Grant is a common English-language surname of Scottish origin, borne by numerous notable figures in fields such as politics, entertainment, and sports.
-
D.
John
John is the birth name of American actor Jack Lemmon, a celebrated star of classic films such as "Some Like It Hot" and "The Apartment."
-
E.
John
John W. Tukey was an influential American mathematician and statistician known for pioneering exploratory data analysis and coining the term "bit."
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abeb3ab08190918f6bff686858be |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52b17b88190af24c04d16980c9f |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5e1eea8819088553ac6673e9b1c |
completed | May 10, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a68b92b48190865ddd477a8ba1c6 |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.