Triple
T9427515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabrina Carpenter |
E227292
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Sue Me
"Sue Me" is a pop song by American singer Sabrina Carpenter, known for its confident, post-breakup empowerment theme and catchy, upbeat production.
|
E798649
|
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: Sue Me | Statement: [Sabrina Carpenter, notableSong, Sue Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Me Context triple: [Sabrina Carpenter, notableSong, Sue Me]
-
A.
Sue’s Gotta Be Mine
"Sue’s Gotta Be Mine" is a 1963 rock and roll single by Del Shannon, known for its upbeat tempo and catchy, melodic hook.
-
B.
Sucker
Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
-
C.
Sucker
"Sucker" is a 2019 upbeat pop single by the Jonas Brothers that marked their high-profile comeback and became a chart-topping hit.
-
D.
Mean to Me
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
-
E.
So Me
So Me is a French graphic designer, illustrator, and music video director known for his work with the Ed Banger Records label and artists like Justice and Kanye West.
- 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: Sue Me Triple: [Sabrina Carpenter, notableSong, Sue Me]
Generated description
"Sue Me" is a pop song by American singer Sabrina Carpenter, known for its confident, post-breakup empowerment theme and catchy, upbeat production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sue Me Target entity description: "Sue Me" is a pop song by American singer Sabrina Carpenter, known for its confident, post-breakup empowerment theme and catchy, upbeat production.
-
A.
Sue’s Gotta Be Mine
"Sue’s Gotta Be Mine" is a 1963 rock and roll single by Del Shannon, known for its upbeat tempo and catchy, melodic hook.
-
B.
Sucker
Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
-
C.
Sucker
"Sucker" is a 2019 upbeat pop single by the Jonas Brothers that marked their high-profile comeback and became a chart-topping hit.
-
D.
Mean to Me
"Mean to Me" is a popular 1929 jazz and pop standard that has been widely recorded by vocalists and instrumentalists since its debut.
-
E.
So Me
So Me is a French graphic designer, illustrator, and music video director known for his work with the Ed Banger Records label and artists like Justice and Kanye West.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c91ba1c8190b8331fb1ba58cc61 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107dd5bcc8190b3f0fdecf296fe29 |
completed | April 4, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69d10890519c8190a1affc040c1d6a8f |
completed | April 4, 2026, 12:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108f10fb48190968ae57799dd017c |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:49 p.m.