Triple
T21834927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Mark Eckstein |
E539093
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Eckstein |
—
|
NE NERFINISHED |
How this triple was built (2 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: Eckstein | Statement: [David Mark Eckstein, familyName, Eckstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eckstein Context triple: [David Mark Eckstein, familyName, Eckstein]
-
A.
Eckstein
chosen
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, and the arts.
-
B.
Eberstein
Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
-
C.
Eddy Hartenstein
Eddy Hartenstein is an American media executive best known for leading the development and growth of the satellite television service DirecTV.
-
D.
Nathan Eckstein
Nathan Eckstein was a prominent early 20th-century Seattle businessman and civic leader known for his role in the region’s commercial and community development.
-
E.
Eisele
Eisele is a surname most notably associated with Donn F. Eisele, an American astronaut who flew on the Apollo 7 mission.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a6c9688190aa357377b4697a47 |
completed | April 28, 2026, 12:27 p.m. |
Created at: April 16, 2026, 6:55 p.m.