Triple
T17546262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleater-Kinney |
E427330
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object |
Toni Gogin
Toni Gogin is a musician best known for her early involvement with the American indie rock band Sleater-Kinney.
|
E1280965
|
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: Toni Gogin | Statement: [Sleater-Kinney, hasFormerMember, Toni Gogin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Gogin Context triple: [Sleater-Kinney, hasFormerMember, Toni Gogin]
-
A.
Gina Wendkos
Gina Wendkos is an American screenwriter best known for adapting Meg Cabot’s novel into the hit teen film "The Princess Diaries" and writing several other popular romantic comedies.
-
B.
Gigi Grombacher
Gigi Grombacher is a songwriter best known for co-writing pop tracks such as "Never Really Over."
-
C.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
D.
Arlene Vrhel
Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
-
E.
Ginny Cerrella
Ginny Cerrella is a screenwriter best known for her work on the 1987 film "Sister, Sister."
- 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: Toni Gogin Triple: [Sleater-Kinney, hasFormerMember, Toni Gogin]
Generated description
Toni Gogin is a musician best known for her early involvement with the American indie rock band Sleater-Kinney.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toni Gogin Target entity description: Toni Gogin is a musician best known for her early involvement with the American indie rock band Sleater-Kinney.
-
A.
Gina Wendkos
Gina Wendkos is an American screenwriter best known for adapting Meg Cabot’s novel into the hit teen film "The Princess Diaries" and writing several other popular romantic comedies.
-
B.
Gigi Grombacher
Gigi Grombacher is a songwriter best known for co-writing pop tracks such as "Never Really Over."
-
C.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
D.
Arlene Vrhel
Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
-
E.
Ginny Cerrella
Ginny Cerrella is a screenwriter best known for her work on the 1987 film "Sister, Sister."
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45461643881909b106bafb89253b3 |
completed | April 19, 2026, 4:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0216429964819081cc28582a87832d |
completed | May 11, 2026, 5:47 p.m. |
| NEDg | Description generation | batch_6a0217eee47881909a61527d4ce7bd54 |
completed | May 11, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0218636e048190a48bc7f066c7bee1 |
completed | May 11, 2026, 5:56 p.m. |
Created at: April 10, 2026, 5:49 a.m.