Triple
T1438434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Famous Five |
E31011
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Timmy the dog
Timmy the dog is the loyal and resourceful canine companion in Enid Blyton’s Famous Five adventure series.
|
E166339
|
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: Timmy the dog | Statement: [The Famous Five, mainCharacter, Timmy the dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timmy the dog Context triple: [The Famous Five, mainCharacter, Timmy the dog]
-
A.
Terry (dog)
Terry was the female Cairn Terrier best known for playing Toto in the 1939 film adaptation of "The Wizard of Oz."
-
B.
Spike the Bulldog
Spike the Bulldog is the costumed canine mascot representing Gonzaga University's men's basketball team and broader athletic programs.
-
C.
Rhett the Boston Terrier
Rhett the Boston Terrier is the costumed canine mascot of Boston University, representing the school at athletic events and campus activities.
-
D.
Harry the Husky
Harry the Husky is the costumed canine mascot who represents the University of Washington at athletic events and school functions.
-
E.
Alpha Dog
Alpha Dog is a 2006 crime drama film inspired by real-life events surrounding a kidnapping and murder case, featuring Anton Yelchin in a prominent role.
- 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: Timmy the dog Triple: [The Famous Five, mainCharacter, Timmy the dog]
Generated description
Timmy the dog is the loyal and resourceful canine companion in Enid Blyton’s Famous Five adventure series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timmy the dog Target entity description: Timmy the dog is the loyal and resourceful canine companion in Enid Blyton’s Famous Five adventure series.
-
A.
Terry (dog)
Terry was the female Cairn Terrier best known for playing Toto in the 1939 film adaptation of "The Wizard of Oz."
-
B.
Spike the Bulldog
Spike the Bulldog is the costumed canine mascot representing Gonzaga University's men's basketball team and broader athletic programs.
-
C.
Rhett the Boston Terrier
Rhett the Boston Terrier is the costumed canine mascot of Boston University, representing the school at athletic events and campus activities.
-
D.
Harry the Husky
Harry the Husky is the costumed canine mascot who represents the University of Washington at athletic events and school functions.
-
E.
Alpha Dog
Alpha Dog is a 2006 crime drama film inspired by real-life events surrounding a kidnapping and murder case, featuring Anton Yelchin in a prominent role.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5059ef88190af20e796acdb2058 |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08ba2cf88190a859bb0974761968 |
completed | March 8, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69ad0bc943488190892a88f4c0e392b9 |
completed | March 8, 2026, 5:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0c6abed48190815252fabc992c48 |
completed | March 8, 2026, 5:43 a.m. |
Created at: March 1, 2026, 8 p.m.