Triple
T12682892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idera, Inc. |
E302990
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object |
SQL Doctor
SQL Doctor is a performance tuning and diagnostic tool designed to analyze Microsoft SQL Server environments and provide actionable recommendations for optimization.
|
E997765
|
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: SQL Doctor | Statement: [Idera, Inc., hasProduct, SQL Doctor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SQL Doctor Context triple: [Idera, Inc., hasProduct, SQL Doctor]
-
A.
DBA
DBA is the commonly used acronym for the Dallas Bar Association, a professional organization of lawyers in Dallas, Texas.
-
B.
DBA
DBA is the three-letter IATA airport code assigned to Dalbandin Airport in Pakistan.
-
C.
DB
DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
-
D.
DB
DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
-
E.
DB
DB is the vehicle registration code assigned to Dâmbovița County in Romania, whose capital is Târgoviște.
- 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: SQL Doctor Triple: [Idera, Inc., hasProduct, SQL Doctor]
Generated description
SQL Doctor is a performance tuning and diagnostic tool designed to analyze Microsoft SQL Server environments and provide actionable recommendations for optimization.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SQL Doctor Target entity description: SQL Doctor is a performance tuning and diagnostic tool designed to analyze Microsoft SQL Server environments and provide actionable recommendations for optimization.
-
A.
DBA
DBA is the commonly used acronym for the Dallas Bar Association, a professional organization of lawyers in Dallas, Texas.
-
B.
DBA
DBA is the three-letter IATA airport code assigned to Dalbandin Airport in Pakistan.
-
C.
DB
DB is the commonly used abbreviation for Deutsche Bahn, Germany’s national railway company and one of the largest rail operators in Europe.
-
D.
DB
DB is the standard abbreviation for "Deutsche Biographie," a major German biographical reference work documenting notable figures from German history and culture.
-
E.
DB
DB is the vehicle registration code assigned to Dâmbovița County in Romania, whose capital is Târgoviște.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a733a48190b55d296573c86eaf |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6732ea7408190a95f0a5f983dfdb7 |
completed | May 2, 2026, 9:57 p.m. |
Created at: April 9, 2026, 5:21 p.m.