Triple
T8607428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Devil Horse |
E203834
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Fang the Dog
Fang the Dog is a canine film actor best known for appearing in early 20th-century Westerns and adventure movies.
|
E745702
|
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: Fang the Dog | Statement: [The Devil Horse, hasCastMember, Fang the Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fang the Dog Context triple: [The Devil Horse, hasCastMember, Fang the Dog]
-
A.
Gumbo the Dog
Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
-
B.
McFogg the Dog
McFogg the Dog is the costumed canine mascot of Simon Fraser University, representing the school's spirit and athletic teams.
-
C.
Piper the Dog
Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
-
D.
Franklin the Dog
Franklin the Dog is the playful, blue-furred canine mascot of the NBA’s Philadelphia 76ers, known for entertaining fans with energetic antics at games and events.
-
E.
Ralph the Dog
Ralph the Dog is the costumed canine mascot of the Canadian Football League’s Calgary Stampeders, known for entertaining fans at games and team events.
- 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: Fang the Dog Triple: [The Devil Horse, hasCastMember, Fang the Dog]
Generated description
Fang the Dog is a canine film actor best known for appearing in early 20th-century Westerns and adventure movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fang the Dog Target entity description: Fang the Dog is a canine film actor best known for appearing in early 20th-century Westerns and adventure movies.
-
A.
Gumbo the Dog
Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
-
B.
McFogg the Dog
McFogg the Dog is the costumed canine mascot of Simon Fraser University, representing the school's spirit and athletic teams.
-
C.
Piper the Dog
Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
-
D.
Franklin the Dog
Franklin the Dog is the playful, blue-furred canine mascot of the NBA’s Philadelphia 76ers, known for entertaining fans with energetic antics at games and events.
-
E.
Ralph the Dog
Ralph the Dog is the costumed canine mascot of the Canadian Football League’s Calgary Stampeders, known for entertaining fans at games and team events.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ec301881908ce148a3f07069fe |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea909757c819095dd38644c21af33 |
completed | April 2, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69cea9d23cc88190b937e89b9aa2bd66 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaae76d188190932826c9fd9f7f5f |
completed | April 2, 2026, 5:44 p.m. |
Created at: March 30, 2026, 6:25 p.m.