Triple
T541374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McClymonds High School |
E12636
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object |
Joe Ellis
Joe Ellis is an American sports executive best known as the longtime president and CEO of the Denver Broncos in the National Football League.
|
E148836
|
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: Joe Ellis | Statement: [McClymonds High School, notableAlumnus, Joe Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Ellis Context triple: [McClymonds High School, notableAlumnus, Joe Ellis]
-
A.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
B.
Richard Stolley
Richard Stolley was an influential American magazine editor best known for shaping modern celebrity journalism as the founding managing editor of People magazine.
-
C.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
D.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
-
E.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
- 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: Joe Ellis Triple: [McClymonds High School, notableAlumnus, Joe Ellis]
Generated description
Joe Ellis is an American sports executive best known as the longtime president and CEO of the Denver Broncos in the National Football League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Ellis Target entity description: Joe Ellis is an American sports executive best known as the longtime president and CEO of the Denver Broncos in the National Football League.
-
A.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
B.
Richard Stolley
Richard Stolley was an influential American magazine editor best known for shaping modern celebrity journalism as the founding managing editor of People magazine.
-
C.
Sam Wheeler
Sam Wheeler is the father of Ted Wheeler, the mayor of Portland, Oregon.
-
D.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
-
E.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49861195081909540eaf402a5401a |
completed | March 1, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb2eb81cc81908907c02ff43644d7 |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb370c7cc81908a78bb5438416db6 |
completed | March 7, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb409b4d0819081266cf3e6c09164 |
completed | March 7, 2026, 11:26 p.m. |
Created at: March 1, 2026, 7:32 p.m.