Triple
T2112015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gheorghe Avramescu |
E42524
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Gheorghe
Gheorghe is a common Romanian male given name of Greek origin, equivalent to George in English.
|
E237057
|
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: Gheorghe | Statement: [Gheorghe Avramescu, givenName, Gheorghe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gheorghe Context triple: [Gheorghe Avramescu, givenName, Gheorghe]
-
A.
Mihai
Mihai is a Romanian given name, equivalent to Michael, commonly used for males in Romania and other Romanian-speaking communities.
-
B.
Gheorghe Mureșan
Gheorghe Mureșan is a retired Romanian-born NBA center, known as one of the tallest players in league history and for his standout mid-1990s tenure with the Washington Bullets.
-
C.
Gheorghe Leonida
Gheorghe Leonida was a Romanian sculptor best known for crafting the expressive face of the iconic Christ the Redeemer statue in Rio de Janeiro.
-
D.
Nicolae
Nicolae is a Romanian masculine given name commonly used across various generations and regions of Romania.
-
E.
Dumitru Erhan
Dumitru Erhan is a computer scientist and machine learning researcher known for influential work in deep learning and neural networks.
- 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: Gheorghe Triple: [Gheorghe Avramescu, givenName, Gheorghe]
Generated description
Gheorghe is a common Romanian male given name of Greek origin, equivalent to George in English.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gheorghe Target entity description: Gheorghe is a common Romanian male given name of Greek origin, equivalent to George in English.
-
A.
Mihai
Mihai is a Romanian given name, equivalent to Michael, commonly used for males in Romania and other Romanian-speaking communities.
-
B.
Gheorghe Mureșan
Gheorghe Mureșan is a retired Romanian-born NBA center, known as one of the tallest players in league history and for his standout mid-1990s tenure with the Washington Bullets.
-
C.
Gheorghe Leonida
Gheorghe Leonida was a Romanian sculptor best known for crafting the expressive face of the iconic Christ the Redeemer statue in Rio de Janeiro.
-
D.
Nicolae
Nicolae is a Romanian masculine given name commonly used across various generations and regions of Romania.
-
E.
Dumitru Erhan
Dumitru Erhan is a computer scientist and machine learning researcher known for influential work in deep learning and neural networks.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb0369a88190af02f0e4e05e2511 |
completed | March 7, 2026, 5:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5194abec8190aab8b7a9ef98da92 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae524946f881908452e7f414962e70 |
completed | March 9, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae529f2e508190b7483b70c9dbf9f9 |
completed | March 9, 2026, 4:54 a.m. |
Created at: March 4, 2026, 7:43 p.m.