Triple
T14552522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On and On |
E341452
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Cookie Jar
"Cookie Jar" is a song featured on the album *On and On*, known for its catchy melody and reflective lyrics.
|
E1107082
|
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: Cookie Jar | Statement: [On and On, hasTrack, Cookie Jar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cookie Jar Context triple: [On and On, hasTrack, Cookie Jar]
-
A.
Candy Jar
Candy Jar is a 2018 American teen romantic comedy film about two competitive high school debate rivals who must work together, starring Jacob Latimore among the main cast.
-
B.
Cookies and Cream
Cookies and Cream is a popular ice cream flavor featuring a sweet cream base mixed with crunchy chocolate cookie pieces.
-
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.
Twinkie
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
-
E.
Cookie Land
Cookie Land is a whimsical, cookie-themed battle arena featured in the Mario Kart: Double Dash!! video game.
- 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: Cookie Jar Triple: [On and On, hasTrack, Cookie Jar]
Generated description
"Cookie Jar" is a song featured on the album *On and On*, known for its catchy melody and reflective lyrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cookie Jar Target entity description: "Cookie Jar" is a song featured on the album *On and On*, known for its catchy melody and reflective lyrics.
-
A.
Candy Jar
Candy Jar is a 2018 American teen romantic comedy film about two competitive high school debate rivals who must work together, starring Jacob Latimore among the main cast.
-
B.
Cookies and Cream
Cookies and Cream is a popular ice cream flavor featuring a sweet cream base mixed with crunchy chocolate cookie pieces.
-
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.
Twinkie
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
-
E.
Cookie Land
Cookie Land is a whimsical, cookie-themed battle arena featured in the Mario Kart: Double Dash!! video game.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab7d698819085fd81d7b6f96317 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8b8566cc81908c5cecefb5d71e63 |
completed | May 8, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8e8c320c8190b08af08226e50622 |
completed | May 8, 2026, 7:19 a.m. |
Created at: April 10, 2026, 1:23 a.m.