Triple
T21010630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Q, Mike, Slim, Daron |
E517537
|
entity |
| Predicate | mainPerformer |
P1363
|
FINISHED |
| Object |
Michael "Mike" Keith
Michael "Mike" Keith is an American R&B singer best known as a member of the 1990s boy band 112.
|
E1462729
|
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: Michael "Mike" Keith | Statement: [Q, Mike, Slim, Daron, mainPerformer, Michael "Mike" Keith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael "Mike" Keith Context triple: [Q, Mike, Slim, Daron, mainPerformer, Michael "Mike" Keith]
-
A.
Micheal Keith
Micheal Keith is a songwriter best known for his work on the track "Got Me Going."
-
B.
George Keister
George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
-
C.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
D.
Michael Edward Keenan
Michael Edward Keenan is an individual whose full legal name is Michael Edward Keenan, though no widely known public information further distinguishes him.
-
E.
Michael Edward Keenan
Michael Edward Keenan is a Canadian professional ice hockey coach and former NHL head coach, widely known for leading the New York Rangers to the 1994 Stanley Cup championship.
- 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: Michael "Mike" Keith Triple: [Q, Mike, Slim, Daron, mainPerformer, Michael "Mike" Keith]
Generated description
Michael "Mike" Keith is an American R&B singer best known as a member of the 1990s boy band 112.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael "Mike" Keith Target entity description: Michael "Mike" Keith is an American R&B singer best known as a member of the 1990s boy band 112.
-
A.
Micheal Keith
Micheal Keith is a songwriter best known for his work on the track "Got Me Going."
-
B.
George Keister
George Keister was an American architect best known for designing prominent early 20th-century theaters and commercial buildings in New York City.
-
C.
Henry Ian Cusick
Henry Ian Cusick is a Scottish-Peruvian actor best known for his roles on television series such as Lost and The 100.
-
D.
Michael Edward Keenan
Michael Edward Keenan is an individual whose full legal name is Michael Edward Keenan, though no widely known public information further distinguishes him.
-
E.
Michael Edward Keenan
Michael Edward Keenan is a Canadian professional ice hockey coach and former NHL head coach, widely known for leading the New York Rangers to the 1994 Stanley Cup championship.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3fdf3c8190abd3db7f5eb503a0 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b60b94081909bea5b8b0cf81447 |
completed | May 17, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a093d500adc8190ba08e8a6c1674563 |
completed | May 17, 2026, 4 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093e445e748190a20721d0718c71bc |
completed | May 17, 2026, 4:04 a.m. |
Created at: April 16, 2026, 1:53 p.m.