Triple
T10141753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Garrett |
E231598
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Goodies
Goodies is a creative work associated with Sean Garrett, likely recognized as one of his most prominent projects or releases.
|
E844543
|
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: Goodies | Statement: [Sean Garrett, notableWork, Goodies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodies Context triple: [Sean Garrett, notableWork, Goodies]
-
A.
Goodies (album)
Goodies is the 2004 debut studio album by American singer Ciara, featuring a blend of crunk&B and R&B that launched her to fame with hits like the title track and "1, 2 Step."
-
B.
Goody Bag
"Goody Bag" is a popular Nigerian Afropop/hip-hop song by artist D'Prince, known for its catchy hook and club-friendly production.
-
C.
Cadeau
Cadeau is a famous 1921 Dada/Surrealist readymade sculpture by Man Ray consisting of a flat iron with a row of metal tacks affixed to its soleplate.
-
D.
Good Stuff
Good Stuff is likely a component or segment of the television program "Kaleidoscope," possibly a recurring feature or themed section within the show.
-
E.
Gifts
"Gifts" is an essay by Ralph Waldo Emerson that reflects on the nature, meaning, and moral implications of giving and receiving presents.
- 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: Goodies Triple: [Sean Garrett, notableWork, Goodies]
Generated description
Goodies is a creative work associated with Sean Garrett, likely recognized as one of his most prominent projects or releases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goodies Target entity description: Goodies is a creative work associated with Sean Garrett, likely recognized as one of his most prominent projects or releases.
-
A.
Goodies (album)
Goodies is the 2004 debut studio album by American singer Ciara, featuring a blend of crunk&B and R&B that launched her to fame with hits like the title track and "1, 2 Step."
-
B.
Goody Bag
"Goody Bag" is a popular Nigerian Afropop/hip-hop song by artist D'Prince, known for its catchy hook and club-friendly production.
-
C.
Cadeau
Cadeau is a famous 1921 Dada/Surrealist readymade sculpture by Man Ray consisting of a flat iron with a row of metal tacks affixed to its soleplate.
-
D.
Good Stuff
Good Stuff is likely a component or segment of the television program "Kaleidoscope," possibly a recurring feature or themed section within the show.
-
E.
Gifts
"Gifts" is an essay by Ralph Waldo Emerson that reflects on the nature, meaning, and moral implications of giving and receiving presents.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb2599e0819090184631e481310c |
completed | April 2, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e60e51488190a6097837eb3ce18a |
completed | April 5, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69d2ea2b0c2c8190ad96980673f182c1 |
completed | April 5, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ea7fe7948190baa7ffcfe5c399dd |
completed | April 5, 2026, 11:04 p.m. |
Created at: March 30, 2026, 9:07 p.m.