Triple
T10954507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunny |
E258807
|
entity |
| Predicate | bookBy |
P2353
|
FINISHED |
| Object |
Anne Caldwell
Anne Caldwell is an author known for writing the book "Sunny."
|
E1010297
|
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: Anne Caldwell | Statement: [Sunny, bookBy, Anne Caldwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Caldwell Context triple: [Sunny, bookBy, Anne Caldwell]
-
A.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
B.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
C.
Ann Scott
Ann Scott is an American philanthropist and former First Lady of Florida, known for her advocacy in education, the arts, and children's causes.
-
D.
Kathleen St. Johns
Kathleen St. Johns is known as a former spouse of bestselling American author and filmmaker Michael Crichton.
-
E.
Ann Donahue
Ann Donahue is an American television writer and producer best known as a co-creator and longtime showrunner of the CSI franchise.
- 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: Anne Caldwell Triple: [Sunny, bookBy, Anne Caldwell]
Generated description
Anne Caldwell is an author known for writing the book "Sunny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Caldwell Target entity description: Anne Caldwell is an author known for writing the book "Sunny."
-
A.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
B.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
-
C.
Ann Scott
Ann Scott is an American philanthropist and former First Lady of Florida, known for her advocacy in education, the arts, and children's causes.
-
D.
Kathleen St. Johns
Kathleen St. Johns is known as a former spouse of bestselling American author and filmmaker Michael Crichton.
-
E.
Ann Donahue
Ann Donahue is an American television writer and producer best known as a co-creator and longtime showrunner of the CSI franchise.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ff718c81909d4baebea3b56b83 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af38e3548190a5192894932d9b1d |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b02e3b9881909387c1f70176a1bd |
completed | May 3, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b11ced30819090f67a0b1e1369aa |
completed | May 3, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:23 p.m.