Triple
T14489314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skillet |
E359321
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object |
Tate Olsen
Tate Olsen is a cellist and musician best known for performing with the Christian rock band Skillet.
|
E1103467
|
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: Tate Olsen | Statement: [Skillet, formerMember, Tate Olsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tate Olsen Context triple: [Skillet, formerMember, Tate Olsen]
-
A.
Trent Baalke
Trent Baalke is an American football executive best known for his tenure as an NFL general manager, including leading front offices for multiple franchises.
-
B.
Ryan Ogren
Ryan Ogren is an American songwriter and record producer known for working with various pop and rock artists.
-
C.
Bryce Soderberg
Bryce Soderberg is a Canadian musician best known as the bassist and backing vocalist for the American rock band Lifehouse.
-
D.
Trent Olsen
Trent Olsen is an American former child actor and the older brother of actresses Mary-Kate, Ashley, and Elizabeth Olsen.
-
E.
T.J. Hanniger
T.J. Hanniger is a central protagonist in the 1981 Canadian slasher film "My Bloody Valentine," known for returning to his mining hometown as a love-triangle and potential-suspect figure amid a series of brutal murders.
- 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: Tate Olsen Triple: [Skillet, formerMember, Tate Olsen]
Generated description
Tate Olsen is a cellist and musician best known for performing with the Christian rock band Skillet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tate Olsen Target entity description: Tate Olsen is a cellist and musician best known for performing with the Christian rock band Skillet.
-
A.
Trent Baalke
Trent Baalke is an American football executive best known for his tenure as an NFL general manager, including leading front offices for multiple franchises.
-
B.
Ryan Ogren
Ryan Ogren is an American songwriter and record producer known for working with various pop and rock artists.
-
C.
Bryce Soderberg
Bryce Soderberg is a Canadian musician best known as the bassist and backing vocalist for the American rock band Lifehouse.
-
D.
Trent Olsen
Trent Olsen is an American former child actor and the older brother of actresses Mary-Kate, Ashley, and Elizabeth Olsen.
-
E.
T.J. Hanniger
T.J. Hanniger is a central protagonist in the 1981 Canadian slasher film "My Bloody Valentine," known for returning to his mining hometown as a love-triangle and potential-suspect figure amid a series of brutal murders.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d90f86081908b25f3eb90042c73 |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6f80e3a081908c43915275898852 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7016a3c48190a1ea2fefeea92c60 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:20 a.m.