Triple
T11471845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beard |
E271926
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Ruth Beard
Ruth Beard is a notable individual recognized for her association with the surname Beard, though specific widely known biographical details about her are limited.
|
E937951
|
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: Ruth Beard | Statement: [Beard, hasNotableBearer, Ruth Beard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruth Beard Context triple: [Beard, hasNotableBearer, Ruth Beard]
-
A.
Ruth Noble
Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
-
B.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
C.
Ruth Penney
Ruth Penney was a daughter of American businessman and J.C. Penney founder James Cash Penney.
-
D.
Ruth Storey
Ruth Storey was an American actress active in the mid-20th century, known for her supporting roles in film and television.
-
E.
Ruth Myers
Ruth Myers is an acclaimed British costume designer known for her imaginative and character-defining work on numerous films and television productions.
- 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: Ruth Beard Triple: [Beard, hasNotableBearer, Ruth Beard]
Generated description
Ruth Beard is a notable individual recognized for her association with the surname Beard, though specific widely known biographical details about her are limited.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruth Beard Target entity description: Ruth Beard is a notable individual recognized for her association with the surname Beard, though specific widely known biographical details about her are limited.
-
A.
Ruth Noble
Ruth Noble is known as the wife of American novelist Winston Groom, author of "Forrest Gump."
-
B.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
C.
Ruth Penney
Ruth Penney was a daughter of American businessman and J.C. Penney founder James Cash Penney.
-
D.
Ruth Storey
Ruth Storey was an American actress active in the mid-20th century, known for her supporting roles in film and television.
-
E.
Ruth Myers
Ruth Myers is an acclaimed British costume designer known for her imaginative and character-defining work on numerous films and television productions.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee866bb71c819091573965f7cf0dee |
completed | April 26, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69eeb310e04c8190a1004662d5bbc015 |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eee95dfff48190a3c3022cdfc6dafc |
completed | April 27, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:35 p.m.