Triple
T22302843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otto Orseolo |
E551299
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Doge
The Doge was the chief magistrate and leader of the Republic of Venice, serving as a powerful but formally constrained head of state for centuries.
|
E1529567
|
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: Doge | Statement: [Otto Orseolo, title, Doge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doge Context triple: [Otto Orseolo, title, Doge]
-
A.
Dogecoin
Dogecoin is a cryptocurrency originally created as a meme-based, lighthearted alternative to Bitcoin that has grown into a widely recognized digital asset with an active online community.
-
B.
Doggie
Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
-
C.
DDOG
DDOG is the stock ticker symbol for Datadog, a cloud-based monitoring and analytics platform for IT infrastructure, applications, and logs.
-
D.
Kitbull
Kitbull is a hand-drawn Pixar short film that tenderly explores the unlikely friendship between a stray kitten and an abused pit bull.
-
E.
Groudle
Groudle is a small coastal settlement on the Isle of Man, known for its scenic bay and the historic Groudle Glen Railway.
- 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: Doge Triple: [Otto Orseolo, title, Doge]
Generated description
The Doge was the chief magistrate and leader of the Republic of Venice, serving as a powerful but formally constrained head of state for centuries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doge Target entity description: The Doge was the chief magistrate and leader of the Republic of Venice, serving as a powerful but formally constrained head of state for centuries.
-
A.
Dogecoin
Dogecoin is a cryptocurrency originally created as a meme-based, lighthearted alternative to Bitcoin that has grown into a widely recognized digital asset with an active online community.
-
B.
Doggie
Doggie is a nickname of Tony Pérez, the Hall of Fame Cuban-American first baseman best known for his years with the Cincinnati Reds' "Big Red Machine."
-
C.
DDOG
DDOG is the stock ticker symbol for Datadog, a cloud-based monitoring and analytics platform for IT infrastructure, applications, and logs.
-
D.
Kitbull
Kitbull is a hand-drawn Pixar short film that tenderly explores the unlikely friendship between a stray kitten and an abused pit bull.
-
E.
Groudle
Groudle is a small coastal settlement on the Isle of Man, known for its scenic bay and the historic Groudle Glen Railway.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572517588190bef6f8bfb76afb19 |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acc9cd4508190825732ffc8b9fa84 |
completed | May 18, 2026, 8:23 a.m. |
| NEDg | Description generation | batch_6a0acd8b04d88190a545cec751e4a635 |
completed | May 18, 2026, 8:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ace5e9b948190bd4fb7092e6fb62e |
completed | May 18, 2026, 8:31 a.m. |
Created at: April 16, 2026, 8:41 p.m.