Triple
T294801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESPN |
E6069
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Ed Eagan
Ed Eagan is an American media executive best known for co-founding the sports television network ESPN.
|
E66797
|
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: Ed Eagan | Statement: [ESPN, founder, Ed Eagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Eagan Context triple: [ESPN, founder, Ed Eagan]
-
A.
John McShain
John McShain was an American building contractor known for constructing major U.S. landmarks, including the Pentagon and significant parts of Washington, D.C.'s federal architecture.
-
B.
John Lund
John Lund was an American film actor active in the 1940s and 1950s, known for his leading and supporting roles in Hollywood comedies and dramas.
-
C.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
-
D.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
-
E.
James Caldwell
James Caldwell was one of the colonial civilians killed by British soldiers during the 1770 Boston Massacre, an event that helped fuel anti-British sentiment before the American Revolution.
- 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: Ed Eagan Triple: [ESPN, founder, Ed Eagan]
Generated description
Ed Eagan is an American media executive best known for co-founding the sports television network ESPN.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ed Eagan Target entity description: Ed Eagan is an American media executive best known for co-founding the sports television network ESPN.
-
A.
John McShain
John McShain was an American building contractor known for constructing major U.S. landmarks, including the Pentagon and significant parts of Washington, D.C.'s federal architecture.
-
B.
John Lund
John Lund was an American film actor active in the 1940s and 1950s, known for his leading and supporting roles in Hollywood comedies and dramas.
-
C.
Joseph Buloff
Joseph Buloff was a Lithuanian-born American actor and director known for his work in Yiddish theater and on Broadway.
-
D.
Peter Amundson
Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
-
E.
James Caldwell
James Caldwell was one of the colonial civilians killed by British soldiers during the 1770 Boston Massacre, an event that helped fuel anti-British sentiment before the American Revolution.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e978420881908488df342a7d5e90 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c029f10c8190a755e230528f3b7b |
completed | March 1, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69a4c0b0868881909e28d253c2971618 |
completed | March 1, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4c131bd8881909501843d85145979 |
completed | March 1, 2026, 10:44 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.