Triple
T296109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Martini |
E6095
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Martini
Martini is a common Italian surname shared by various notable individuals in fields such as acting, sports, and politics.
|
E38874
|
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: [Max Martini, familyName, Martini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martini Context triple: [Max Martini, familyName, Martini]
-
A.
pisco sour
Pisco sour is a classic South American cocktail made with pisco, citrus juice, sweetener, and egg white, renowned as a cultural icon of Peru.
-
B.
Champagne
Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
-
C.
Brandy
Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
-
D.
Rum
Rum is a rugged, sparsely populated island in the Inner Hebrides of Scotland, known for its dramatic mountain scenery, wildlife, and status as a National Nature Reserve.
-
E.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
- 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: [Max Martini, familyName, Martini]
Generated description
Martini is a common Italian surname shared by various notable individuals in fields such as acting, sports, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martini Target entity description: Martini is a common Italian surname shared by various notable individuals in fields such as acting, sports, and politics.
-
A.
pisco sour
Pisco sour is a classic South American cocktail made with pisco, citrus juice, sweetener, and egg white, renowned as a cultural icon of Peru.
-
B.
Champagne
Champagne is a renowned wine-producing region in northeastern France famous for its sparkling wines made primarily from Chardonnay, Pinot Noir, and Pinot Meunier grapes.
-
C.
Brandy
Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
-
D.
Rum
Rum is a rugged, sparsely populated island in the Inner Hebrides of Scotland, known for its dramatic mountain scenery, wildlife, and status as a National Nature Reserve.
-
E.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e979663481908cf9622e59fed041 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3ab9fda4c81909358613369a6848c |
completed | March 1, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_69a3aecd6fd48190843ac6f272ca83ac |
completed | March 1, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3af5293b88190929dbdce5c89bf10 |
completed | March 1, 2026, 3:15 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.