Triple
T7905677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebenezer Scrooge |
E183569
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Fred
Fred is Ebenezer Scrooge’s cheerful and warm-hearted nephew in Charles Dickens’s novella "A Christmas Carol."
|
E700669
|
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: Fred | Statement: [Ebenezer Scrooge, relative, Fred]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Context triple: [Ebenezer Scrooge, relative, Fred]
-
A.
Fred
Fred is a French luxury jewelry brand renowned for its elegant, contemporary designs and high-end craftsmanship, owned by the LVMH group.
-
B.
Fred
Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
-
C.
Fred
Fred is a laid-back, comic book–obsessed college student and enthusiastic member of the superhero team in Disney's animated film "Big Hero 6."
-
D.
Fred
Fred is a surname most notably borne by E. B. Fred, an American bacteriologist and former president of the University of Wisconsin–Madison.
-
E.
Frank
Frank is the critically acclaimed 2003 debut studio album by English singer-songwriter Amy Winehouse, blending jazz, soul, and R&B influences.
- 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: Fred Triple: [Ebenezer Scrooge, relative, Fred]
Generated description
Fred is Ebenezer Scrooge’s cheerful and warm-hearted nephew in Charles Dickens’s novella "A Christmas Carol."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Target entity description: Fred is Ebenezer Scrooge’s cheerful and warm-hearted nephew in Charles Dickens’s novella "A Christmas Carol."
-
A.
Fred
Fred is the given name of Fred Rogers, the beloved American television host and creator of the children's program "Mister Rogers' Neighborhood."
-
B.
Fred
Fred is a laid-back, comic book–obsessed college student and enthusiastic member of the superhero team in Disney's animated film "Big Hero 6."
-
C.
Fred
Fred is a French luxury jewelry brand renowned for its elegant, contemporary designs and high-end craftsmanship, owned by the LVMH group.
-
D.
Fred
Fred is a surname most notably borne by E. B. Fred, an American bacteriologist and former president of the University of Wisconsin–Madison.
-
E.
Frank
Frank is the given name of Frank McCourt, the Irish-American teacher and Pulitzer Prize–winning author best known for his memoir "Angela’s Ashes."
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a56c9f0819094dc87fe55a8823e |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc9dfa88190aa5261bdf44823ab |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb7632cbbc819087107c8d2172a038 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb64eee408190a66cbd0cba3054b4 |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 5:03 p.m.