Triple
T10792397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renée Felice Smith |
E254612
|
entity |
| Predicate | hasPet |
P8711
|
FINISHED |
| Object |
Bulldog Hugo
Bulldog Hugo is the pet bulldog of American actress Renée Felice Smith, known to her fans from her role on "NCIS: Los Angeles."
|
E885375
|
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: Bulldog Hugo | Statement: [Renée Felice Smith, hasPet, Bulldog Hugo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulldog Hugo Context triple: [Renée Felice Smith, hasPet, Bulldog Hugo]
-
A.
Hector the Bulldog
Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
-
B.
Champ the Bulldog
Champ the Bulldog is the costumed canine mascot representing the University of Minnesota Duluth Bulldogs athletic teams.
-
C.
Butch the Bulldog
Butch the Bulldog is a classic Disney cartoon character known as Pluto’s tough, antagonistic canine rival.
-
D.
Spike the Bulldog
Spike the Bulldog is the costumed canine mascot representing Gonzaga University's men's basketball team and broader athletic programs.
-
E.
Spike the Bulldog
Spike the Bulldog is the costumed canine mascot representing Samford University at its athletic events and campus activities.
- 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: Bulldog Hugo Triple: [Renée Felice Smith, hasPet, Bulldog Hugo]
Generated description
Bulldog Hugo is the pet bulldog of American actress Renée Felice Smith, known to her fans from her role on "NCIS: Los Angeles."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bulldog Hugo Target entity description: Bulldog Hugo is the pet bulldog of American actress Renée Felice Smith, known to her fans from her role on "NCIS: Los Angeles."
-
A.
Hector the Bulldog
Hector the Bulldog is a tough, muscular bulldog character from the Looney Tunes cartoons, often portrayed as a protector of characters like Tweety.
-
B.
Champ the Bulldog
Champ the Bulldog is the costumed canine mascot representing the University of Minnesota Duluth Bulldogs athletic teams.
-
C.
Butch the Bulldog
Butch the Bulldog is a classic Disney cartoon character known as Pluto’s tough, antagonistic canine rival.
-
D.
Spike the Bulldog
Spike the Bulldog is the costumed canine figure that represents Drake University at its athletic events and school functions.
-
E.
Spike the Bulldog
Spike the Bulldog is the costumed canine mascot representing Gonzaga University's men's basketball team and broader athletic programs.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f7ad408190af4727dd9d459498 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de5637ec50819087f1a0372f89197d |
completed | April 14, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_69de5eae7ab88190a0c512cfe61e3458 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de60907e1081908405b6d71adbd388 |
completed | April 14, 2026, 3:43 p.m. |
Created at: April 8, 2026, 9:17 p.m.