Triple
T15822439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh |
E383644
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Goodies |
E383638
|
NE FINISHED |
How this triple was built (2 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: [Oh, album, Goodies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodies Context triple: [Oh, album, Goodies]
-
A.
Goodies
Goodies is a creative work associated with Sean Garrett, likely recognized as one of his most prominent projects or releases.
-
B.
Goodies (album)
chosen
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."
-
C.
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.
-
D.
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.
-
E.
The Good Stuff
"The Good Stuff" is a popular country song by Kenny Chesney that tells an emotional story about love, loss, and appreciating life's meaningful moments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a887d881908f74a1fcba390727 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93be478819099908e7242f532d7 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.