Triple
T17769175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lancia LC2 |
E443587
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object |
Martini
Martini is an iconic Italian brand best known for its vermouth and sponsorship of high-profile motorsport teams.
|
E1286903
|
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: Martini | Statement: [Lancia LC2, sponsor, Martini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martini Context triple: [Lancia LC2, sponsor, Martini]
-
A.
Martini
Martini is a common Italian surname shared by various notable individuals in fields such as acting, sports, and politics.
-
B.
French Martini
The French Martini is a modern vodka-based cocktail known for its fruity blend of pineapple juice and raspberry liqueur, yielding a smooth, slightly sweet, and elegant drink.
-
C.
Brandy Manhattan
Brandy Manhattan is a cocktail that substitutes brandy for the traditional whiskey in a Manhattan, typically mixed with sweet vermouth and bitters and served straight up or on the rocks.
-
D.
Sazerac
Sazerac is a classic New Orleans cocktail typically made with rye whiskey (or cognac), sugar, Peychaud’s bitters, and an absinthe-rinsed glass.
-
E.
Caffè Negroni
Caffè Negroni is a historic Italian café located on Turin’s elegant Piazza San Carlo, known for its traditional atmosphere and classic drinks.
- 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: Martini Triple: [Lancia LC2, sponsor, Martini]
Generated description
Martini is an iconic Italian brand best known for its vermouth and sponsorship of high-profile motorsport teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martini Target entity description: Martini is an iconic Italian brand best known for its vermouth and sponsorship of high-profile motorsport teams.
-
A.
Martini
Martini is a common Italian surname shared by various notable individuals in fields such as acting, sports, and politics.
-
B.
French Martini
The French Martini is a modern vodka-based cocktail known for its fruity blend of pineapple juice and raspberry liqueur, yielding a smooth, slightly sweet, and elegant drink.
-
C.
Brandy Manhattan
Brandy Manhattan is a cocktail that substitutes brandy for the traditional whiskey in a Manhattan, typically mixed with sweet vermouth and bitters and served straight up or on the rocks.
-
D.
Sazerac
Sazerac is a classic New Orleans cocktail typically made with rye whiskey (or cognac), sugar, Peychaud’s bitters, and an absinthe-rinsed glass.
-
E.
Caffè Negroni
Caffè Negroni is a historic Italian café located on Turin’s elegant Piazza San Carlo, known for its traditional atmosphere and classic drinks.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fe70648190b4107e1eabacc694 |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02efc35a048190886bb5ffb5ab708a |
completed | May 12, 2026, 9:15 a.m. |
| NEDg | Description generation | batch_6a02f096fc648190a1ff19f2704a4cef |
completed | May 12, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f1d0a4708190bbf51356da7e965e |
completed | May 12, 2026, 9:24 a.m. |
Created at: April 10, 2026, 10:11 a.m.