Triple
T11169715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Nuggets |
E264242
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Rocky the Mountain Lion
Rocky the Mountain Lion is the high-energy, acrobatic mascot of the NBA’s Denver Nuggets, known for his crowd-pleasing stunts and in-game entertainment.
|
E908834
|
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: Rocky the Mountain Lion | Statement: [Denver Nuggets, mascot, Rocky the Mountain Lion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rocky the Mountain Lion Context triple: [Denver Nuggets, mascot, Rocky the Mountain Lion]
-
A.
Cougar
Cougar is a skilled and taciturn sniper who serves as one of the key members of the special forces team in the action film "The Losers" (2010).
-
B.
Wasatch Wolf
Wasatch Wolf is one of the official animal mascots created for the 2002 Winter Olympics in Salt Lake City.
-
C.
Grizzly
Grizzly is a popular American moist snuff (smokeless tobacco) brand known for its strong flavor and wide variety of cuts and styles.
-
D.
Lobo
Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
-
E.
Lobo
Lobo is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, dive sites, and marine biodiversity.
- 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: Rocky the Mountain Lion Triple: [Denver Nuggets, mascot, Rocky the Mountain Lion]
Generated description
Rocky the Mountain Lion is the high-energy, acrobatic mascot of the NBA’s Denver Nuggets, known for his crowd-pleasing stunts and in-game entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rocky the Mountain Lion Target entity description: Rocky the Mountain Lion is the high-energy, acrobatic mascot of the NBA’s Denver Nuggets, known for his crowd-pleasing stunts and in-game entertainment.
-
A.
Cougar
Cougar is a skilled and taciturn sniper who serves as one of the key members of the special forces team in the action film "The Losers" (2010).
-
B.
Wasatch Wolf
Wasatch Wolf is one of the official animal mascots created for the 2002 Winter Olympics in Salt Lake City.
-
C.
Grizzly
Grizzly is a popular American moist snuff (smokeless tobacco) brand known for its strong flavor and wide variety of cuts and styles.
-
D.
Lobo
Lobo is a surname most prominently associated with Rebecca Lobo, a former American professional basketball player and Hall of Famer.
-
E.
Lobo
Lobo is a coastal municipality in the province of Batangas in the Philippines, known for its beaches, dive sites, and marine biodiversity.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463a2e2fc819086126b681d86e94b |
completed | April 19, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.