Triple
T1496898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver Broncos |
E29707
|
entity |
| Predicate | president |
P8
|
FINISHED |
| Object |
Damani Leech
Damani Leech is an American sports executive known for his leadership roles in professional football, including serving as president of the Denver Broncos.
|
E172849
|
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: Damani Leech | Statement: [Denver Broncos, president, Damani Leech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damani Leech Context triple: [Denver Broncos, president, Damani Leech]
-
A.
Aubrey Jones
Aubrey Jones was a British Conservative politician who served in senior government roles in the mid-20th century, notably in economic and industrial affairs.
-
B.
Cori Broadus
Cori Broadus is an American singer and social media personality, best known as the daughter of rapper Snoop Dogg.
-
C.
Eboni Mills
Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
-
D.
Ebon Moss-Bachrach
Ebon Moss-Bachrach is an American actor known for his roles in television series such as "Girls" and "The Bear," as well as numerous independent films.
-
E.
Kalani Brown
Kalani Brown is an American professional basketball center known for her dominant post play and All-American career at Baylor University.
- 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: Damani Leech Triple: [Denver Broncos, president, Damani Leech]
Generated description
Damani Leech is an American sports executive known for his leadership roles in professional football, including serving as president of the Denver Broncos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damani Leech Target entity description: Damani Leech is an American sports executive known for his leadership roles in professional football, including serving as president of the Denver Broncos.
-
A.
Aubrey Jones
Aubrey Jones was a British Conservative politician who served in senior government roles in the mid-20th century, notably in economic and industrial affairs.
-
B.
Cori Broadus
Cori Broadus is an American singer and social media personality, best known as the daughter of rapper Snoop Dogg.
-
C.
Eboni Mills
Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
-
D.
Ebon Moss-Bachrach
Ebon Moss-Bachrach is an American actor known for his roles in television series such as "Girls" and "The Bear," as well as numerous independent films.
-
E.
Kalani Brown
Kalani Brown is an American professional basketball center known for her dominant post play and All-American career at Baylor University.
- 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_69ad2331b49881908672251bb86418df |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad23d86d088190bbea03d5d49bc009 |
completed | March 8, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2459c38c8190a8c166c2743a8936 |
completed | March 8, 2026, 7:25 a.m. |
Created at: March 1, 2026, 8:12 p.m.