Triple
T15482600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Sievert |
E376956
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sievert
Sievert is a surname of German origin borne by various individuals, including business executive Mike Sievert.
|
E1158513
|
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: Sievert | Statement: [Mike Sievert, familyName, Sievert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sievert Context triple: [Mike Sievert, familyName, Sievert]
-
A.
sievert
The sievert is the SI-derived unit used to quantify the biological effect of ionizing radiation on human tissue.
-
B.
becquerel
The becquerel is the SI-derived unit used to measure radioactivity, defined as one nuclear decay per second.
-
C.
Fermi (unit)
The fermi is a unit of length equal to one femtometer (10⁻¹⁵ meter), commonly used in nuclear and particle physics to express sizes of atomic nuclei and subatomic particles.
-
D.
roentgen (unit)
The roentgen is an obsolete unit of exposure to ionizing X- or gamma radiation, historically used to quantify the amount of radiation that produces a specific level of ionization in air.
-
E.
Bq
Bq is the SI-derived unit of radioactivity used to measure the rate of nuclear decay in a radioactive substance.
- 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: Sievert Triple: [Mike Sievert, familyName, Sievert]
Generated description
Sievert is a surname of German origin borne by various individuals, including business executive Mike Sievert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sievert Target entity description: Sievert is a surname of German origin borne by various individuals, including business executive Mike Sievert.
-
A.
sievert
The sievert is the SI-derived unit used to quantify the biological effect of ionizing radiation on human tissue.
-
B.
becquerel
The becquerel is the SI-derived unit used to measure radioactivity, defined as one nuclear decay per second.
-
C.
Fermi (unit)
The fermi is a unit of length equal to one femtometer (10⁻¹⁵ meter), commonly used in nuclear and particle physics to express sizes of atomic nuclei and subatomic particles.
-
D.
roentgen (unit)
The roentgen is an obsolete unit of exposure to ionizing X- or gamma radiation, historically used to quantify the amount of radiation that produces a specific level of ionization in air.
-
E.
Bq
Bq is the SI-derived unit of radioactivity used to measure the rate of nuclear decay in a radioactive substance.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8cb4388190a3b4c92c3bb4ad4f |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0f4e648190b9cd9b1464209224 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff2de2d82c819085d903a538313e70 |
completed | May 9, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2ea08ad08190b3ecf29bfe7a809a |
completed | May 9, 2026, 12:54 p.m. |
Created at: April 10, 2026, 3:40 a.m.