Triple
T15335129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Kleiner |
E366644
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kleiner |
E688409
|
NE FINISHED |
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: Kleiner | Statement: [Harry Kleiner, familyName, Kleiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleiner Context triple: [Harry Kleiner, familyName, Kleiner]
-
A.
Kleiner
chosen
Kleiner is a surname most notably associated with Eugene Kleiner, a pioneering Silicon Valley venture capitalist and co-founder of the firm Kleiner Perkins.
-
B.
Klein
Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
-
C.
Kleine Enz
Kleine Enz is a small river in Baden-Württemberg, Germany, that serves as a tributary of the Enz.
-
D.
Little D
Little D is a colloquial nickname for the city of Denton, Texas, often used in contrast to nearby Dallas, known as "Big D."
-
E.
Jäcklein
Jäcklein is a German given name, historically associated with the 16th-century peasant leader Jäcklein Rohrbach.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ee7480819080133a9910a2bf52 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.