Triple
T4338618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami Showband |
E97523
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Ray Millar
Ray Millar is a musician best known as a member of the Irish pop group the Miami Showband, which was highly popular during the showband era.
|
E431407
|
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: Ray Millar | Statement: [Miami Showband, hasMember, Ray Millar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Millar Context triple: [Miami Showband, hasMember, Ray Millar]
-
A.
Ken Burnett
Ken Burnett is a prominent fundraising expert and author known for his influential work on donor relationship fundraising and nonprofit communications.
-
B.
Brian MacDevitt
Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
-
E.
Ken Nolan
Ken Nolan is an American screenwriter best known for adapting Mark Bowden’s nonfiction book into the acclaimed war film "Black Hawk Down."
- 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: Ray Millar Triple: [Miami Showband, hasMember, Ray Millar]
Generated description
Ray Millar is a musician best known as a member of the Irish pop group the Miami Showband, which was highly popular during the showband era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ray Millar Target entity description: Ray Millar is a musician best known as a member of the Irish pop group the Miami Showband, which was highly popular during the showband era.
-
A.
Ken Burnett
Ken Burnett is a prominent fundraising expert and author known for his influential work on donor relationship fundraising and nonprofit communications.
-
B.
Brian MacDevitt
Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
-
E.
Ken Nolan
Ken Nolan is an American screenwriter best known for adapting Mark Bowden’s nonfiction book into the acclaimed war film "Black Hawk Down."
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516dffb48190878f81ffe71a5e82 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0af82888190bed294bdec942f4a |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d29d8a4881908f1612dddc8e878c |
completed | March 14, 2026, 9:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d336850081908f411db1023e3598 |
completed | March 14, 2026, 9:29 p.m. |
Created at: March 12, 2026, 11:14 p.m.