Triple
T4661353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merkle puzzles |
E102538
|
entity |
| Predicate | involvesParty |
P15954
|
FINISHED |
| Object |
Alice
Alice is the conventional placeholder name used to represent a generic sender or participant in cryptographic protocols and security examples.
|
E461743
|
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: Alice | Statement: [Merkle puzzles, involvesParty, Alice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alice Context triple: [Merkle puzzles, involvesParty, Alice]
-
A.
Alice
Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
-
B.
Alice
Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
-
C.
Alice
Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
-
D.
Alice
Alice is a feminine given name of Old French and Germanic origin, commonly used in English-speaking countries and popularized by literary works such as "Alice's Adventures in Wonderland."
-
E.
Alice
Alice, Princess Alice, Duchess of Gloucester, was a British royal who became a prominent member of the House of Windsor through her marriage to Prince Henry, Duke of Gloucester.
- 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: Alice Triple: [Merkle puzzles, involvesParty, Alice]
Generated description
Alice is the conventional placeholder name used to represent a generic sender or participant in cryptographic protocols and security examples.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alice Target entity description: Alice is the conventional placeholder name used to represent a generic sender or participant in cryptographic protocols and security examples.
-
A.
Alice
Alice is a feminine given name of Old French and Germanic origin, commonly used in English-speaking countries and popularized by literary works such as "Alice's Adventures in Wonderland."
-
B.
Alice
Alice is one of the given names of Anne, Princess Royal, the only daughter of Queen Elizabeth II and Prince Philip.
-
C.
Alice
Alice is an ultraviolet imaging spectrograph aboard NASA's New Horizons spacecraft, used to study the composition and structure of planetary atmospheres and surfaces.
-
D.
Alice
Alice is the curious young girl who serves as the main protagonist of Disney’s animated film "Alice in Wonderland."
-
E.
Alice
Alice is an American sitcom that aired from the mid-1970s to the mid-1980s, following a widowed waitress working at a roadside diner and the quirky people in her life.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632a17cc8190bcdab0a13b89f5c0 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be037c67108190bdae034832dc7b41 |
completed | March 21, 2026, 2:33 a.m. |
| NEDg | Description generation | batch_69be0440e7c881908743b7af9b2fa347 |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be04e0f1b08190b3e617150e34648c |
completed | March 21, 2026, 2:39 a.m. |
Created at: March 20, 2026, 1:15 p.m.