Triple
T15199679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Seller |
E363232
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Cleve
Cleve is a central fictional protagonist known from the popular work "Best Seller," around whom the story’s main events and conflicts revolve.
|
E1144152
|
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: Cleve | Statement: [Best Seller, mainCharacter, Cleve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleve Context triple: [Best Seller, mainCharacter, Cleve]
-
A.
Klepper
Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
-
B.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
C.
Alvan
Alvan is a masculine given name of English origin, notably borne by figures such as U.S. Army officer Alvan C. Gillem.
-
D.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
E.
Willard
Willard is a coastal neighborhood in South Portland, Maine, known for its sandy beach and residential seaside character.
- 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: Cleve Triple: [Best Seller, mainCharacter, Cleve]
Generated description
Cleve is a central fictional protagonist known from the popular work "Best Seller," around whom the story’s main events and conflicts revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cleve Target entity description: Cleve is a central fictional protagonist known from the popular work "Best Seller," around whom the story’s main events and conflicts revolve.
-
A.
Klepper
Klepper is the surname of American comedian and television host Jordan Klepper, known for his work on political satire programs such as The Daily Show.
-
B.
Everette
Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
-
C.
Alvan
Alvan is a masculine given name of English origin, notably borne by figures such as U.S. Army officer Alvan C. Gillem.
-
D.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
E.
Willard
Willard is a coastal neighborhood in South Portland, Maine, known for its sandy beach and residential seaside character.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3363f688190a5c728846bea743a |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed76d6a888190b44efa490df4b6d0 |
completed | May 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feda443c64819087cb16ce742e7cc5 |
completed | May 9, 2026, 6:55 a.m. |
Created at: April 10, 2026, 3:10 a.m.