Triple
T252099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naomi Klein |
E5170
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Klein
Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
|
E32247
|
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: Klein | Statement: [Naomi Klein, familyName, Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klein Context triple: [Naomi Klein, familyName, Klein]
-
A.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
B.
Stanley
Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
-
C.
Rappen
Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
-
D.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
E.
Kato
Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
- 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: Klein Triple: [Naomi Klein, familyName, Klein]
Generated description
Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klein Target entity description: Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
-
A.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
B.
Stanley
Stanley is an autonomous robotic vehicle developed by Stanford University that gained fame for winning the 2005 DARPA Grand Challenge, a landmark event in self-driving car research.
-
C.
Rappen
Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
-
D.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
E.
Kato
Kato is the nickname of Kato Svanidze, who was the first wife of Soviet leader Joseph Stalin.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d39eb3881909f435043c8697f13 |
completed | Feb. 28, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a37374e97c819090a8921d5c27d1ab |
completed | Feb. 28, 2026, 11 p.m. |
| NEDg | Description generation | batch_69a37424ca448190aeb43c7922fbd1dd |
completed | Feb. 28, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3747b0bf481908b197614d9f2d04c |
completed | Feb. 28, 2026, 11:04 p.m. |
Created at: Feb. 28, 2026, 2:54 a.m.