Triple
T6675498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austin FC |
E151839
|
entity |
| Predicate | president |
P8
|
FINISHED |
| Object |
Andy Loughnane
Andy Loughnane is a sports business executive known for leading the front-office and business operations of Major League Soccer club Austin FC.
|
E614922
|
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: Andy Loughnane | Statement: [Austin FC, president, Andy Loughnane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Loughnane Context triple: [Austin FC, president, Andy Loughnane]
-
A.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
B.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
-
C.
Brendan McLoughlin
Brendan McLoughlin is a former New York City police officer who gained public attention through his marriage to country music star Miranda Lambert.
-
D.
Luke Doolan
Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
-
E.
Jimmy Doherty
Jimmy Doherty is a central firefighter character in the television drama series "Third Watch," known for his bravery, personal struggles, and complex relationships with fellow first responders.
- 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: Andy Loughnane Triple: [Austin FC, president, Andy Loughnane]
Generated description
Andy Loughnane is a sports business executive known for leading the front-office and business operations of Major League Soccer club Austin FC.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andy Loughnane Target entity description: Andy Loughnane is a sports business executive known for leading the front-office and business operations of Major League Soccer club Austin FC.
-
A.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
B.
Dan Kavanagh
Dan Kavanagh is the crime-fiction pseudonym used by British novelist Julian Barnes for a series of detective novels.
-
C.
Brendan McLoughlin
Brendan McLoughlin is a former New York City police officer who gained public attention through his marriage to country music star Miranda Lambert.
-
D.
Luke Doolan
Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
-
E.
Jimmy Doherty
Jimmy Doherty is a central firefighter character in the television drama series "Third Watch," known for his bravery, personal struggles, and complex relationships with fellow first responders.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f3021481908c2599349eb6ea07 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70aeef0d881909da055735646dbaf |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70bda97f08190bc6dab7177341876 |
completed | March 27, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c51e0148190be64afb56690b34f |
completed | March 27, 2026, 11:01 p.m. |
Created at: March 27, 2026, 2:03 p.m.