Triple
T6976394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheap Trick |
E161726
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Tom Petersson
Tom Petersson is an American bassist best known as the co-founder and innovative 12-string bass player of the rock band Cheap Trick.
|
E633832
|
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: Tom Petersson | Statement: [Cheap Trick, member, Tom Petersson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Petersson Context triple: [Cheap Trick, member, Tom Petersson]
-
A.
Niklas Andersson
Niklas Andersson is a Swedish former professional ice hockey forward known for his successful career in the Swedish Hockey League and his standout performances with Malmö Redhawks.
-
B.
Johan Anders Larsson
Johan Anders Larsson was the father of the renowned Swedish painter and illustrator Carl Larsson.
-
C.
Erik Renström
Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
-
D.
Johan Carlsson
Johan Carlsson is a music producer known for his work on the film soundtrack for "Legend."
-
E.
Erik Edlund
Erik Edlund was a Swedish physicist and academic who mentored future Nobel laureate Svante Arrhenius and contributed to 19th-century physical science education in Sweden.
- 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: Tom Petersson Triple: [Cheap Trick, member, Tom Petersson]
Generated description
Tom Petersson is an American bassist best known as the co-founder and innovative 12-string bass player of the rock band Cheap Trick.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Petersson Target entity description: Tom Petersson is an American bassist best known as the co-founder and innovative 12-string bass player of the rock band Cheap Trick.
-
A.
Niklas Andersson
Niklas Andersson is a Swedish former professional ice hockey forward known for his successful career in the Swedish Hockey League and his standout performances with Malmö Redhawks.
-
B.
Johan Anders Larsson
Johan Anders Larsson was the father of the renowned Swedish painter and illustrator Carl Larsson.
-
C.
Erik Renström
Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
-
D.
Johan Carlsson
Johan Carlsson is a music producer known for his work on the film soundtrack for "Legend."
-
E.
Erik Edlund
Erik Edlund was a Swedish physicist and academic who mentored future Nobel laureate Svante Arrhenius and contributed to 19th-century physical science education in Sweden.
- 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_69c6db677bbc8190a084b6951e5c3182 |
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.