Triple
T13417808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Android 13 |
E313259
|
entity |
| Predicate | codename |
P2980
|
FINISHED |
| Object |
Tiramisu
Tiramisu is a popular Italian layered dessert made with coffee-soaked ladyfingers, mascarpone cheese, and cocoa.
|
E1038278
|
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: Tiramisu | Statement: [Android 13, codename, Tiramisu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiramisu Context triple: [Android 13, codename, Tiramisu]
-
A.
Cherry Garcia
Cherry Garcia is one of Ben & Jerry’s most iconic ice cream flavors, featuring cherry ice cream with cherries and fudge flakes inspired by musician Jerry Garcia.
-
B.
Dolce
Dolce is the pet dog of Mavis Gary, the main character in the film "Young Adult."
-
C.
Dolce
Dolce is an Italian surname most famously associated with Domenico Dolce, co-founder of the luxury fashion house Dolce & Gabbana.
-
D.
Macaron
Macaron is a key supporting character in the rhythm-action game Hi-Fi Rush, known as a gentle, physically powerful ex-Vandelay employee who aids the protagonist with his engineering expertise and heavy-hitting combat support.
-
E.
Vanilla Fudge
Vanilla Fudge is an American rock band formed in the 1960s, best known for its heavy, psychedelic reworkings of contemporary pop and soul songs.
- 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: Tiramisu Triple: [Android 13, codename, Tiramisu]
Generated description
Tiramisu is a popular Italian layered dessert made with coffee-soaked ladyfingers, mascarpone cheese, and cocoa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiramisu Target entity description: Tiramisu is a popular Italian layered dessert made with coffee-soaked ladyfingers, mascarpone cheese, and cocoa.
-
A.
Cherry Garcia
Cherry Garcia is one of Ben & Jerry’s most iconic ice cream flavors, featuring cherry ice cream with cherries and fudge flakes inspired by musician Jerry Garcia.
-
B.
Dolce
Dolce is the pet dog of Mavis Gary, the main character in the film "Young Adult."
-
C.
Dolce
Dolce is an Italian surname most famously associated with Domenico Dolce, co-founder of the luxury fashion house Dolce & Gabbana.
-
D.
Macaron
Macaron is a key supporting character in the rhythm-action game Hi-Fi Rush, known as a gentle, physically powerful ex-Vandelay employee who aids the protagonist with his engineering expertise and heavy-hitting combat support.
-
E.
Vanilla Fudge
Vanilla Fudge is an American rock band formed in the 1960s, best known for its heavy, psychedelic reworkings of contemporary pop and soul songs.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:39 p.m.