Triple
T14728037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Panties |
E345993
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Cookie |
E1115319
|
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: Cookie | Statement: [Black Panties, hasTrack, Cookie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cookie Context triple: [Black Panties, hasTrack, Cookie]
-
A.
Cookie
Cookie is the nickname of Cookie Johnson, an American businesswoman, philanthropist, and the wife of NBA legend Magic Johnson.
-
B.
Cookie
chosen
"Cookie" is a song by American R&B singer R. Kelly from his album *Black Panties*, known for its sexually explicit lyrics and metaphorical wordplay.
-
C.
Cookie Fleck
Cookie Fleck is a neurotic, overly affectionate dog owner and former prom queen in the mockumentary film "Best in Show," known for her many ex-boyfriends and comic dynamic with her husband Gerry.
-
D.
Cookie Jar
"Cookie Jar" is a song featured on the album *On and On*, known for its catchy melody and reflective lyrics.
-
E.
HTTP cookies
HTTP cookies are small pieces of data stored by a web browser on behalf of a website to maintain stateful information such as sessions, preferences, and tracking across HTTP requests.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26179688190ba9f3cd045da0e2a |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb87ef7c8190a46f317e5475d40e |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.