Triple
T3150429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilda Radner |
E65863
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Radner
Radner is a surname most famously associated with Gilda Radner, the pioneering American comedian and original cast member of Saturday Night Live.
|
E331351
|
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: Radner | Statement: [Gilda Radner, familyName, Radner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radner Context triple: [Gilda Radner, familyName, Radner]
-
A.
Blinder
Blinder is the NATO reporting name for the Soviet-era Tupolev Tu-22 supersonic bomber aircraft.
-
B.
Thaler
The Thaler was a large silver coin and monetary unit widely used across various German states and parts of Europe from the 16th to 19th centuries, serving as a precursor to the modern dollar.
-
C.
Kirzner
Kirzner is the surname of Israel Kirzner, a prominent Austrian School economist known for his work on entrepreneurship and market processes.
-
D.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
E.
Loewenstein
Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
- 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: Radner Triple: [Gilda Radner, familyName, Radner]
Generated description
Radner is a surname most famously associated with Gilda Radner, the pioneering American comedian and original cast member of Saturday Night Live.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Radner Target entity description: Radner is a surname most famously associated with Gilda Radner, the pioneering American comedian and original cast member of Saturday Night Live.
-
A.
Blinder
Blinder is the NATO reporting name for the Soviet-era Tupolev Tu-22 supersonic bomber aircraft.
-
B.
Thaler
The Thaler was a large silver coin and monetary unit widely used across various German states and parts of Europe from the 16th to 19th centuries, serving as a precursor to the modern dollar.
-
C.
Kirzner
Kirzner is the surname of Israel Kirzner, a prominent Austrian School economist known for his work on entrepreneurship and market processes.
-
D.
Bryc
Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
-
E.
Loewenstein
Loewenstein is a surname of German origin associated with various notable individuals in fields such as science, politics, and the arts.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5bf902c8190a490fa55e2dcecc0 |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f94f3881909a277c45c9add0f5 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b225b27e1c8190a3df0d4692ee66c6 |
completed | March 12, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b226339e4881908690f7ea7a7bd50c |
completed | March 12, 2026, 2:34 a.m. |
Created at: March 8, 2026, 3:05 p.m.