Triple
T15989335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roelof Botha |
E387781
|
entity |
| Predicate | boardMemberOf |
P10
|
FINISHED |
| Object |
Natera
Natera is a biotechnology company specializing in genetic testing and diagnostics, particularly in reproductive health, oncology, and organ health.
|
E1187497
|
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: Natera | Statement: [Roelof Botha, boardMemberOf, Natera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natera Context triple: [Roelof Botha, boardMemberOf, Natera]
-
A.
Veritas Genetics
Veritas Genetics is a biotechnology company that offers whole-genome sequencing and interpretation services for consumers and clinicians.
-
B.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
C.
Genex
Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
-
D.
Ventris
Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
-
E.
Nebula Genomics
Nebula Genomics is a personal genomics company that offers whole-genome sequencing and analysis with a focus on privacy-preserving, blockchain-based data sharing.
- 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: Natera Triple: [Roelof Botha, boardMemberOf, Natera]
Generated description
Natera is a biotechnology company specializing in genetic testing and diagnostics, particularly in reproductive health, oncology, and organ health.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natera Target entity description: Natera is a biotechnology company specializing in genetic testing and diagnostics, particularly in reproductive health, oncology, and organ health.
-
A.
Veritas Genetics
Veritas Genetics is a biotechnology company that offers whole-genome sequencing and interpretation services for consumers and clinicians.
-
B.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
C.
Genex
Genex is an airline that uses Minsk National Airport as a primary base of operations for its flight network.
-
D.
Ventris
Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
-
E.
Nebula Genomics
Nebula Genomics is a personal genomics company that offers whole-genome sequencing and analysis with a focus on privacy-preserving, blockchain-based data sharing.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc45e6ff48190bb7b82adb4161ad0 |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4cea4108190927b107fc24df597 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:54 a.m.