Triple
T15516284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamie Dantzscher |
E368841
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dantzscher
Dantzscher is the surname of American former artistic gymnast Jamie Dantzscher, a member of the 2000 U.S. Olympic team.
|
E1162018
|
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: Dantzscher | Statement: [Jamie Dantzscher, familyName, Dantzscher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dantzscher Context triple: [Jamie Dantzscher, familyName, Dantzscher]
-
A.
Diebitsch
Diebitsch is the maiden surname of Josephine Diebitsch Peary, an American author and Arctic explorer known for her expeditions with her husband Robert Peary.
-
B.
Durlach
Durlach is a historic district of Karlsruhe in southwestern Germany, known for its medieval old town and role as a former residence of the Margraves of Baden.
-
C.
Dalstroi
Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
-
D.
Dietl
Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
-
E.
Menczel
Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
- 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: Dantzscher Triple: [Jamie Dantzscher, familyName, Dantzscher]
Generated description
Dantzscher is the surname of American former artistic gymnast Jamie Dantzscher, a member of the 2000 U.S. Olympic team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dantzscher Target entity description: Dantzscher is the surname of American former artistic gymnast Jamie Dantzscher, a member of the 2000 U.S. Olympic team.
-
A.
Diebitsch
Diebitsch is the maiden surname of Josephine Diebitsch Peary, an American author and Arctic explorer known for her expeditions with her husband Robert Peary.
-
B.
Durlach
Durlach is a historic district of Karlsruhe in southwestern Germany, known for its medieval old town and role as a former residence of the Margraves of Baden.
-
C.
Dalstroi
Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
-
D.
Dietl
Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
-
E.
Menczel
Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5111648190a61fc87170b0d93c |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3f075bb881908c254137ca7c3f9f |
completed | May 9, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f87f788819080eccae52b0df145 |
completed | May 9, 2026, 2:07 p.m. |
Created at: April 10, 2026, 4:02 a.m.