Triple
T17464897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Me |
E425248
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Got It Good
"Got It Good" is a song by Canadian singer Shania Twain from her 2023 studio album "Queen of Me."
|
E1271197
|
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: Got It Good | Statement: [Queen of Me, hasTrack, Got It Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Got It Good Context triple: [Queen of Me, hasTrack, Got It Good]
-
A.
Got It Made
"Got It Made" is a song by the American rock band Crosby, Stills, Nash & Young, featured on their 1988 album "American Dream."
-
B.
Got Me Good
"Got Me Good" is an uptempo R&B/pop single by Ciara known for its dance-heavy performance and confident, playful lyrics.
-
C.
I Got It
"I Got It" is a song featured on American singer T-Pain's 2007 R&B/hip-hop album "Epiphany."
-
D.
Come and Get It
Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
-
E.
Come and Get It
Come and Get It is the second solo studio album by British pop singer Rachel Stevens, noted for its polished dance-pop production and critical acclaim.
- 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: Got It Good Triple: [Queen of Me, hasTrack, Got It Good]
Generated description
"Got It Good" is a song by Canadian singer Shania Twain from her 2023 studio album "Queen of Me."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Got It Good Target entity description: "Got It Good" is a song by Canadian singer Shania Twain from her 2023 studio album "Queen of Me."
-
A.
Got It Made
"Got It Made" is a song by the American rock band Crosby, Stills, Nash & Young, featured on their 1988 album "American Dream."
-
B.
Got Me Good
"Got Me Good" is an uptempo R&B/pop single by Ciara known for its dance-heavy performance and confident, playful lyrics.
-
C.
I Got It
"I Got It" is a song featured on American singer T-Pain's 2007 R&B/hip-hop album "Epiphany."
-
D.
Come and Get It
Come and Get It is a 1936 American drama film, co-directed by Howard Hawks and William Wyler, best known for featuring Walter Brennan in an Oscar-winning supporting performance.
-
E.
Come and Get It
Come and Get It is the second solo studio album by British pop singer Rachel Stevens, noted for its polished dance-pop production and critical acclaim.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a6c2e08190bca9de56ee2f5136 |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b825ed208190997ec8868c7d6f4a |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b963291481909791d9c136a9fd69 |
completed | May 11, 2026, 11:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ba3eeb6c8190926d2cb538fcb908 |
completed | May 11, 2026, 11:15 a.m. |
Created at: April 10, 2026, 5:47 a.m.