Triple
T6976150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meat Loaf |
E161722
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Michael Lee Aday
Michael Lee Aday is the American rock singer and actor best known by his stage name Meat Loaf, famed for his powerful vocals and the multi-platinum album "Bat Out of Hell."
|
E633772
|
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 Lee Aday | Statement: [Meat Loaf, birthName, Michael Lee Aday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Lee Aday Context triple: [Meat Loaf, birthName, Michael Lee Aday]
-
A.
Chris Dabaldo
Chris Dabaldo is a musician best known as a guitarist for the American rock band Saliva.
-
B.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
C.
Andrew Kelley
Andrew Kelley is a software engineer best known as the creator and lead developer of the Zig programming language.
-
D.
Matthew Stuecken
Matthew Stuecken is a film screenwriter best known for co-writing the psychological sci-fi thriller "10 Cloverfield Lane."
-
E.
Michael Kinney
Michael Kinney is a relatively obscure individual whose primary distinguishing feature is sharing the surname Kinney, with no widely recognized public achievements or roles documented.
- 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 Lee Aday Triple: [Meat Loaf, birthName, Michael Lee Aday]
Generated description
Michael Lee Aday is the American rock singer and actor best known by his stage name Meat Loaf, famed for his powerful vocals and the multi-platinum album "Bat Out of Hell."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Lee Aday Target entity description: Michael Lee Aday is the American rock singer and actor best known by his stage name Meat Loaf, famed for his powerful vocals and the multi-platinum album "Bat Out of Hell."
-
A.
Chris Dabaldo
Chris Dabaldo is a musician best known as a guitarist for the American rock band Saliva.
-
B.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
C.
Andrew Kelley
Andrew Kelley is a software engineer best known as the creator and lead developer of the Zig programming language.
-
D.
Matthew Stuecken
Matthew Stuecken is a film screenwriter best known for co-writing the psychological sci-fi thriller "10 Cloverfield Lane."
-
E.
Michael Kinney
Michael Kinney is a relatively obscure individual whose primary distinguishing feature is sharing the surname Kinney, with no widely recognized public achievements or roles documented.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3d3ab08190b107f3229c357dd2 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761ab41b0819084d26c10bb763f8e |
completed | March 28, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69c763b0d5cc8190bdd82fc8a5a95ef1 |
completed | March 28, 2026, 5:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76435fd2c819099143ea12f21d095 |
completed | March 28, 2026, 5:16 a.m. |
Created at: March 27, 2026, 2:31 p.m.