Triple
T975972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dookie |
E21052
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
F.O.D.
F.O.D. is a fast-paced punk rock track by Green Day, featured as one of the closing songs on their breakthrough 1994 album *Dookie*.
|
E114527
|
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: F.O.D. | Statement: [Dookie, hasPart, F.O.D.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F.O.D. Context triple: [Dookie, hasPart, F.O.D.]
-
A.
Fink
Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
-
B.
De fide
De fide is a theological treatise by Ambrose of Milan that systematically defends and explains the Nicene Christian doctrine of the Trinity.
-
C.
Foege
Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
-
D.
Furiani
Furiani is a commune on the French Mediterranean island of Corsica, known for its proximity to Bastia and its coastal setting.
-
E.
Foley
Foley is a small city in southern Alabama known for its proximity to Gulf Coast beaches and its role as a regional shopping and tourism hub.
- 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: F.O.D. Triple: [Dookie, hasPart, F.O.D.]
Generated description
F.O.D. is a fast-paced punk rock track by Green Day, featured as one of the closing songs on their breakthrough 1994 album *Dookie*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F.O.D. Target entity description: F.O.D. is a fast-paced punk rock track by Green Day, featured as one of the closing songs on their breakthrough 1994 album *Dookie*.
-
A.
Fink
Fink is an open-source package management system that brings a wide range of Unix and open-source software to macOS by compiling and distributing it in a convenient, Debian-like format.
-
B.
De fide
De fide is a theological treatise by Ambrose of Milan that systematically defends and explains the Nicene Christian doctrine of the Trinity.
-
C.
Foege
Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
-
D.
Furiani
Furiani is a commune on the French Mediterranean island of Corsica, known for its proximity to Bastia and its coastal setting.
-
E.
Foley
Foley is a small city in southern Alabama known for its proximity to Gulf Coast beaches and its role as a regional shopping and tourism hub.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46234c88190b2bfc9cafe59d7f7 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac170c0fdc8190b904ca5737764f5a |
completed | March 7, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69ac17c2e6f48190be6fce7f279957c4 |
completed | March 7, 2026, 12:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1845d6948190af8994e431ef357f |
completed | March 7, 2026, 12:21 p.m. |
Created at: March 1, 2026, 7:40 p.m.