Triple
T80261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King |
E1611
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Joyce King
Joyce King is a personal name shared by multiple individuals, including professionals in fields such as academia, law, and the arts.
|
E48705
|
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: Joyce King | Statement: [King, hasNotableBearer, Joyce King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joyce King Context triple: [King, hasNotableBearer, Joyce King]
-
A.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
-
B.
Joan Armstrong
Joan Armstrong is a notable individual distinguished enough to be specifically recognized among people sharing the Armstrong surname.
-
C.
Ann Sadler
Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
-
D.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
E.
Barbara Dickson
Barbara Dickson is a Scottish singer and actress known for her folk-inspired pop music and roles in musical theatre, including the hit musical "Blood Brothers."
- 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: Joyce King Triple: [King, hasNotableBearer, Joyce King]
Generated description
Joyce King is a personal name shared by multiple individuals, including professionals in fields such as academia, law, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joyce King Target entity description: Joyce King is a personal name shared by multiple individuals, including professionals in fields such as academia, law, and the arts.
-
A.
Katherine Rogers
Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
-
B.
Joan Armstrong
Joan Armstrong is a notable individual distinguished enough to be specifically recognized among people sharing the Armstrong surname.
-
C.
Ann Sadler
Ann Sadler was the wife of John Harvard, the English clergyman and benefactor after whom Harvard University is named.
-
D.
Judith Nelson
Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
-
E.
Barbara Dickson
Barbara Dickson is a Scottish singer and actress known for her folk-inspired pop music and roles in musical theatre, including the hit musical "Blood Brothers."
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f354d088190972791051d2d99f8 |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe8c0d4881909164199221272daa |
completed | March 1, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69a3ff1563688190bd5a41ea3c4726a5 |
completed | March 1, 2026, 8:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ffb7c1f8819084d07b54e1688290 |
completed | March 1, 2026, 8:58 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.