Triple
T6283716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Tom Club |
E140844
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Ken Fradley
Ken Fradley is a musician best known as a member of the new wave band Tom Tom Club.
|
E599200
|
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: Ken Fradley | Statement: [Tom Tom Club, hasMember, Ken Fradley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Fradley Context triple: [Tom Tom Club, hasMember, Ken Fradley]
-
A.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
B.
Brian Dutcher
Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
-
C.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
D.
Dan Frazer
Dan Frazer was an American character actor best known for his role as Captain Frank McNeil on the television series "Kojak."
-
E.
Randy Friel
Randy Friel is a musician best known as a member of the alternative rock band Concrete Blonde.
- 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: Ken Fradley Triple: [Tom Tom Club, hasMember, Ken Fradley]
Generated description
Ken Fradley is a musician best known as a member of the new wave band Tom Tom Club.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken Fradley Target entity description: Ken Fradley is a musician best known as a member of the new wave band Tom Tom Club.
-
A.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
B.
Brian Dutcher
Brian Dutcher is an American college basketball coach best known for leading the San Diego State Aztecs to national prominence, including a run to the 2023 NCAA championship game.
-
C.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
D.
Dan Frazer
Dan Frazer was an American character actor best known for his role as Captain Frank McNeil on the television series "Kojak."
-
E.
Randy Friel
Randy Friel is a musician best known as a member of the alternative rock band Concrete Blonde.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fb6b1c8190b19a674c18fc9c53 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6caf09b408190b1133afa52668bfe |
completed | March 27, 2026, 6:22 p.m. |
| NEDg | Description generation | batch_69c6cc960e088190bd9643aa1c46128d |
completed | March 27, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6cd4d50948190ac60ec518f00e5d8 |
completed | March 27, 2026, 6:32 p.m. |
Created at: March 22, 2026, 4:26 p.m.