Triple
T4719060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Grayson |
E104719
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Grayson
Grayson is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
|
E465718
|
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: Grayson | Statement: [William Grayson, familyName, Grayson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grayson Context triple: [William Grayson, familyName, Grayson]
-
A.
Grayson
Grayson is the given name of British artist and Turner Prize winner Grayson Perry, known for his ceramic works and exploration of identity and gender.
-
B.
Grayson
Grayson is an unincorporated community located in Stanislaus County, California.
-
C.
Grayson Kent
Grayson Kent is a central character in the legal dramedy "Drop Dead Diva," portrayed as a charming and principled attorney who serves as the main love interest of the show's protagonist.
-
D.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
E.
Hayden
Hayden is a small city in northern Idaho, known for its proximity to Hayden Lake and its role as part of the Coeur d'Alene metropolitan area.
- 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: Grayson Triple: [William Grayson, familyName, Grayson]
Generated description
Grayson is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grayson Target entity description: Grayson is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
-
A.
Grayson
Grayson is an unincorporated community located in Stanislaus County, California.
-
B.
Grayson
Grayson is the given name of British artist and Turner Prize winner Grayson Perry, known for his ceramic works and exploration of identity and gender.
-
C.
Grayson Kent
Grayson Kent is a central character in the legal dramedy "Drop Dead Diva," portrayed as a charming and principled attorney who serves as the main love interest of the show's protagonist.
-
D.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
E.
Hayden
Hayden is a small city in northern Idaho, known for its proximity to Hayden Lake and its role as part of the Coeur d'Alene metropolitan area.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd642779a08190b01e588d515cf498 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108bc0048190aeea8674f75105e5 |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be2e247f28819099e14db2c551a8f2 |
completed | March 21, 2026, 5:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be2ee962f88190927ccb32acdcc2e8 |
completed | March 21, 2026, 5:38 a.m. |
Created at: March 20, 2026, 1:18 p.m.