Triple
T9734167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rice |
E236015
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Patricia Rice
Patricia Rice is an American author best known for her historical and contemporary romance novels, often featuring strong heroines and elements of fantasy.
|
E819498
|
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: Patricia Rice | Statement: [Rice, hasNotableBearer, Patricia Rice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Rice Context triple: [Rice, hasNotableBearer, Patricia Rice]
-
A.
Patricia Blair
Patricia Blair was an American film and television actress best known for her roles in 1960s TV series such as "Daniel Boone" and "The Rifleman."
-
B.
Patricia Murray
Patricia Murray is known as the spouse of American glass artist and sculptor Dan Dailey.
-
C.
Patricia Burr
Patricia Burr is an individual notable enough to be recognized as a bearer of the surname Burr, though specific widely known public details about her are not readily established.
-
D.
Sherry Martin
Sherry Martin is the female lead in the 1936 Fred Astaire and Ginger Rogers musical film "Follow the Fleet," known for her singing, dancing, and romantic storyline.
-
E.
Patricia Haines
Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
- 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: Patricia Rice Triple: [Rice, hasNotableBearer, Patricia Rice]
Generated description
Patricia Rice is an American author best known for her historical and contemporary romance novels, often featuring strong heroines and elements of fantasy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patricia Rice Target entity description: Patricia Rice is an American author best known for her historical and contemporary romance novels, often featuring strong heroines and elements of fantasy.
-
A.
Patricia Blair
Patricia Blair was an American film and television actress best known for her roles in 1960s TV series such as "Daniel Boone" and "The Rifleman."
-
B.
Patricia Murray
Patricia Murray is known as the spouse of American glass artist and sculptor Dan Dailey.
-
C.
Patricia Burr
Patricia Burr is an individual notable enough to be recognized as a bearer of the surname Burr, though specific widely known public details about her are not readily established.
-
D.
Sherry Martin
Sherry Martin is the female lead in the 1936 Fred Astaire and Ginger Rogers musical film "Follow the Fleet," known for her singing, dancing, and romantic storyline.
-
E.
Patricia Haines
Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eebcec08190a9d4606fd26f2e19 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcc8d2288190b2a1dc3fe1185030 |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1bdcea9608190ac34cdd243a68830 |
completed | April 5, 2026, 1:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1be16f35c819089fa03073e97333e |
completed | April 5, 2026, 1:42 a.m. |
Created at: March 30, 2026, 8:22 p.m.