Triple
T9021197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dov |
E215726
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object |
Dober
Dober is a surname and given name of likely Central or Eastern European origin, used by various individuals and families.
|
E773682
|
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: Dober | Statement: [Dov, hasRelatedName, Dober]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dober Context triple: [Dov, hasRelatedName, Dober]
-
A.
Doberdob
Doberdob is the Slovene name for Doberdò del Lago, a municipality in the Friuli Venezia Giulia region of northeastern Italy near the border with Slovenia.
-
B.
Spitz
Spitz is the fierce and ruthless lead sled dog who serves as Buck’s primary canine antagonist in Jack London’s novel "The Call of the Wild."
-
C.
Berger
Berger is a common German-origin surname borne by numerous notable individuals across politics, arts, sports, and academia.
-
D.
Dobermann
Dobermann is a 1997 French action-crime film known for its hyper-stylized violence and anarchic portrayal of a gang of ruthless bank robbers.
-
E.
Dobkin
Dobkin is a Jewish surname borne by various notable individuals, including figures in Israeli politics, arts, and public life.
- 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: Dober Triple: [Dov, hasRelatedName, Dober]
Generated description
Dober is a surname and given name of likely Central or Eastern European origin, used by various individuals and families.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dober Target entity description: Dober is a surname and given name of likely Central or Eastern European origin, used by various individuals and families.
-
A.
Doberdob
Doberdob is the Slovene name for Doberdò del Lago, a municipality in the Friuli Venezia Giulia region of northeastern Italy near the border with Slovenia.
-
B.
Spitz
Spitz is the fierce and ruthless lead sled dog who serves as Buck’s primary canine antagonist in Jack London’s novel "The Call of the Wild."
-
C.
Berger
Berger is a common German-origin surname borne by numerous notable individuals across politics, arts, sports, and academia.
-
D.
Dobermann
Dobermann is a 1997 French action-crime film known for its hyper-stylized violence and anarchic portrayal of a gang of ruthless bank robbers.
-
E.
Dobkin
Dobkin is a Jewish surname borne by various notable individuals, including figures in Israeli politics, arts, and public 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a43add08190983b7ac88576fd7e |
completed | April 1, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbb92ffc81909de907f2bb64dd58 |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc9868fc8190addad6b87b567277 |
completed | April 3, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfe0aafe4c81908a5b31590f6c9152 |
completed | April 3, 2026, 3:45 p.m. |
Created at: March 30, 2026, 7:07 p.m.