Triple
T20004744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendan Hunt |
E494424
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Coach Beard
Coach Beard is a laconic, intellectually quirky assistant coach and Ted Lasso’s closest confidant on the television series "Ted Lasso."
|
E1405013
|
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: Coach Beard | Statement: [Brendan Hunt, portrayed, Coach Beard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coach Beard Context triple: [Brendan Hunt, portrayed, Coach Beard]
-
A.
Danny Beard
Danny Beard was a music producer and manager closely associated with the 1960s pop and soul vocal group The 5th Dimension.
-
B.
Dan Beard
Dan Beard was an American illustrator and author best known for his classic illustrations of Mark Twain’s works and for helping to found the Boy Scouts of America.
-
C.
Sam Beard
Sam Beard is a social entrepreneur and public service advocate best known for co-founding the Jefferson Awards for Public Service, which honor outstanding community and volunteer efforts across the United States.
-
D.
Chuck Beeson
Chuck Beeson is an artist known for creating cover artwork, particularly in the fantasy genre.
-
E.
Frank Beard
Frank Beard is an American drummer best known as the longtime percussionist for the rock band ZZ Top.
- 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: Coach Beard Triple: [Brendan Hunt, portrayed, Coach Beard]
Generated description
Coach Beard is a laconic, intellectually quirky assistant coach and Ted Lasso’s closest confidant on the television series "Ted Lasso."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coach Beard Target entity description: Coach Beard is a laconic, intellectually quirky assistant coach and Ted Lasso’s closest confidant on the television series "Ted Lasso."
-
A.
Danny Beard
Danny Beard was a music producer and manager closely associated with the 1960s pop and soul vocal group The 5th Dimension.
-
B.
Dan Beard
Dan Beard was an American illustrator and author best known for his classic illustrations of Mark Twain’s works and for helping to found the Boy Scouts of America.
-
C.
Sam Beard
Sam Beard is a social entrepreneur and public service advocate best known for co-founding the Jefferson Awards for Public Service, which honor outstanding community and volunteer efforts across the United States.
-
D.
Chuck Beeson
Chuck Beeson is an artist known for creating cover artwork, particularly in the fantasy genre.
-
E.
Frank Beard
Frank Beard is an American drummer best known as the longtime percussionist for the rock band ZZ Top.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a46c748190a141ab5aac6ea250 |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08050db2648190b3400fabb144215f |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0805ed58f881909c94d5d9f8ecf631 |
completed | May 16, 2026, 5:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080668c5dc81909d93f167c6600924 |
completed | May 16, 2026, 5:53 a.m. |
Created at: April 11, 2026, 3:33 p.m.