Triple
T6144953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dead |
E137052
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
John Molo
John Molo is an American drummer best known for his work in rock and jam band circles, including collaborations with members of the Grateful Dead.
|
E575980
|
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: John Molo | Statement: [The Dead, hasMember, John Molo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Molo Context triple: [The Dead, hasMember, John Molo]
-
A.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
B.
John Miller
John Miller is a prominent American sports journalist and television anchor best known for his work on ESPN’s “20/20” sports coverage and related broadcasts.
-
C.
Jalil Kilpatrick
Jalil Kilpatrick is known as one of the sons of former Detroit mayor Kwame Kilpatrick.
-
D.
Sylvester Keliher
Sylvester Keliher was a prominent labor leader associated with the American Railway Union, an influential early industrial union in the United States.
-
E.
John McGowan
John McGowan was a writer whose work served as the basis for the 1943 musical film "Girl Crazy."
- 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: John Molo Triple: [The Dead, hasMember, John Molo]
Generated description
John Molo is an American drummer best known for his work in rock and jam band circles, including collaborations with members of the Grateful Dead.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Molo Target entity description: John Molo is an American drummer best known for his work in rock and jam band circles, including collaborations with members of the Grateful Dead.
-
A.
Michael Maloney
Michael Maloney is a British actor known for his work in film, television, and theatre, including prominent roles in Shakespearean adaptations.
-
B.
John Miller
John Miller is a prominent American sports journalist and television anchor best known for his work on ESPN’s “20/20” sports coverage and related broadcasts.
-
C.
Jalil Kilpatrick
Jalil Kilpatrick is known as one of the sons of former Detroit mayor Kwame Kilpatrick.
-
D.
Sylvester Keliher
Sylvester Keliher was a prominent labor leader associated with the American Railway Union, an influential early industrial union in the United States.
-
E.
John McGowan
John McGowan was a writer whose work served as the basis for the 1943 musical film "Girl Crazy."
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb645508190aea2d77c9de174ba |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ece259c8190b7258859a35ca4fd |
completed | March 23, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69c1c4a8f69c819086a0bd355e6750db |
completed | March 23, 2026, 10:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1c59ef9b0819091b05cd30c07d918 |
completed | March 23, 2026, 10:58 p.m. |
Created at: March 22, 2026, 4:16 p.m.