Triple
T16450908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewing Marion Kauffman |
E399546
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kauffman |
E399547
|
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: Kauffman | Statement: [Ewing Marion Kauffman, familyName, Kauffman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kauffman Context triple: [Ewing Marion Kauffman, familyName, Kauffman]
-
A.
Kauffman
chosen
Kauffman is a surname most notably associated with American pharmaceutical entrepreneur and Kansas City Royals founder Ewing Kauffman.
-
B.
Knot
Knot is a Dutch surname most prominently associated with Klaas Knot, the president of the Dutch central bank (De Nederlandsche Bank) and a leading European economist.
-
C.
Knotz
Knotz is a music producer known for working with the artist Gravitas.
-
D.
Knot Cities
Knot Cities is a fictional or conceptual urban setting associated with the operations of the entity known as Bridges.
-
E.
Gabai
Gabai is a Hebrew-language surname commonly found among Jewish families, notably borne by Israeli actor Sasson Gabai.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce06de0819086eea241c6b32223 |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045979c588190b6f7b249147f3174 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.