Triple
T1496891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Broncos |
E29707
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Miles
Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
|
E171533
|
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: Miles | Statement: [Denver Broncos, mascot, Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Context triple: [Denver Broncos, mascot, Miles]
-
A.
Miles Theodore Stephens
Miles Theodore Stephens is the son of model and television personality Chrissy Teigen and singer-songwriter John Legend.
-
B.
Miles Smith
Miles Smith was an English theologian and bishop best known as one of the principal translators and editors of the King James Version of the Bible.
-
C.
Myles
Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
-
D.
de Mille
De Mille is a surname most famously associated with American choreographer and dancer Agnes de Mille and her influential contributions to 20th-century musical theatre and ballet.
-
E.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
- 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: Miles Triple: [Denver Broncos, mascot, Miles]
Generated description
Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miles Target entity description: Miles is the official horse-themed mascot of the NFL’s Denver Broncos, known for entertaining fans at games and team events.
-
A.
Miles Theodore Stephens
Miles Theodore Stephens is the son of model and television personality Chrissy Teigen and singer-songwriter John Legend.
-
B.
Miles Smith
Miles Smith was an English theologian and bishop best known as one of the principal translators and editors of the King James Version of the Bible.
-
C.
Myles
Myles is a masculine given name of English origin, historically associated with figures such as Mayflower military leader Myles Standish.
-
D.
de Mille
De Mille is a surname most famously associated with American choreographer and dancer Agnes de Mille and her influential contributions to 20th-century musical theatre and ballet.
-
E.
Maynard
Maynard is the middle name of the influential British economist John Maynard Keynes, a key figure in modern macroeconomic theory.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6edca248190a90205799b270058 |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1caf8b288190b428cf903db2c107 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1e3e8fd4819098de7b04e0fad4dc |
completed | March 8, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad1eef24c88190a232d40aa4d2235b |
completed | March 8, 2026, 7:02 a.m. |
Created at: March 1, 2026, 8:12 p.m.