Triple
T7418003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Really Over |
E171176
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Michelle Buzz
Michelle Buzz is a contemporary pop songwriter known for co-writing tracks for major artists, including contributions to songs like "Never Really Over."
|
E664073
|
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: Michelle Buzz | Statement: [Never Really Over, writer, Michelle Buzz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Buzz Context triple: [Never Really Over, writer, Michelle Buzz]
-
A.
Michelle Grace
Michelle Grace is an American actress and film producer known for her work in projects like "Narc" and "Take the Lead" and for her former marriage to actor Ray Liotta.
-
B.
Michelle Beisner-Buck
Michelle Beisner-Buck is an American sports reporter and former Denver Broncos cheerleader best known for her work as an NFL features reporter for ESPN.
-
C.
Nichole Millard
Nichole Millard is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
-
D.
Meg Hutchinson
Meg Hutchinson is an American folk singer-songwriter and poet known for her introspective lyrics and contemplative, acoustic sound.
-
E.
Michelle Burke
Michelle Burke is an American actress best known for her roles in 1990s films such as "Dazed and Confused" and "Coneheads."
- 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: Michelle Buzz Triple: [Never Really Over, writer, Michelle Buzz]
Generated description
Michelle Buzz is a contemporary pop songwriter known for co-writing tracks for major artists, including contributions to songs like "Never Really Over."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michelle Buzz Target entity description: Michelle Buzz is a contemporary pop songwriter known for co-writing tracks for major artists, including contributions to songs like "Never Really Over."
-
A.
Michelle Grace
Michelle Grace is an American actress and film producer known for her work in projects like "Narc" and "Take the Lead" and for her former marriage to actor Ray Liotta.
-
B.
Michelle Beisner-Buck
Michelle Beisner-Buck is an American sports reporter and former Denver Broncos cheerleader best known for her work as an NFL features reporter for ESPN.
-
C.
Nichole Millard
Nichole Millard is a screenwriter best known for co-writing the family sports comedy film "The Game Plan."
-
D.
Meg Hutchinson
Meg Hutchinson is an American folk singer-songwriter and poet known for her introspective lyrics and contemplative, acoustic sound.
-
E.
Michelle Burke
Michelle Burke is an American actress best known for her roles in 1990s films such as "Dazed and Confused" and "Coneheads."
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c9314c8190855b79a2e6ef3e9b |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81eed92888190bf9d11ab91378fa9 |
completed | March 28, 2026, 6:33 p.m. |
| NEDg | Description generation | batch_69c820cc51d0819083e5a939f9101f92 |
completed | March 28, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8230e2b3481909a6460a38be2a478 |
completed | March 28, 2026, 6:50 p.m. |
Created at: March 27, 2026, 3:11 p.m.