Triple
T8510205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingsley Amis |
E201433
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kingsley
Kingsley is a masculine given name of English origin, notably borne by British novelist Kingsley Amis.
|
E738437
|
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: Kingsley | Statement: [Kingsley Amis, givenName, Kingsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingsley Context triple: [Kingsley Amis, givenName, Kingsley]
-
A.
Kingsley
Kingsley is a small rural village and civil parish in East Hampshire, England.
-
B.
Griffin
Griffin is a city in Spalding County, Georgia, known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
-
C.
Griffin
The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
-
D.
Griffin
Griffin is a surname of English origin borne by numerous notable individuals across fields such as architecture, politics, sports, and entertainment.
-
E.
Griffin
The Griffin is the mythical creature that serves as the official mascot and symbol of Reed College.
- 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: Kingsley Triple: [Kingsley Amis, givenName, Kingsley]
Generated description
Kingsley is a masculine given name of English origin, notably borne by British novelist Kingsley Amis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kingsley Target entity description: Kingsley is a masculine given name of English origin, notably borne by British novelist Kingsley Amis.
-
A.
Kingsley
Kingsley is a small rural village and civil parish in East Hampshire, England.
-
B.
Griffin
The Griffin is the mythical creature that serves as the official mascot and symbol of Reed College.
-
C.
Griffin
Griffin is a city in Spalding County, Georgia, known as part of the Atlanta metropolitan area and for its historic downtown and role as a regional commercial center.
-
D.
Griffin
The Griffin is the mythical lion-eagle creature that serves as the official mascot of the College of William & Mary, symbolizing the school’s blend of strength, wisdom, and historical heritage.
-
E.
Griffin
Griffin is a surname of English origin borne by numerous notable individuals across fields such as architecture, politics, sports, and entertainment.
- 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5e0cb1881909d1ff6ee9b3a65cc |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e3faa0c81908533e9097ed29b26 |
completed | April 2, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_69ce4ff9792c81908d76141904a170bc |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce50acae5881908f1d2c0e21dd7f1d |
completed | April 2, 2026, 11:19 a.m. |
Created at: March 30, 2026, 6:15 p.m.