Triple
T12564017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snider |
E295420
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Nancy Snider
Nancy Snider is an individual notable enough to be recognized as a prominent bearer of the surname Snider.
|
E1010955
|
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: Nancy Snider | Statement: [Snider, hasNotableBearer, Nancy Snider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Snider Context triple: [Snider, hasNotableBearer, Nancy Snider]
-
A.
Nancy Blansky
Nancy Blansky is the central character of the 1970s American sitcom "Blansky's Beauties," portrayed as a seasoned Las Vegas showbiz professional managing a troupe of young performers.
-
B.
Nancy Wyman
Nancy Wyman is an American Democratic politician who served as the 108th lieutenant governor of Connecticut and previously chaired the state’s Democratic Party.
-
C.
Nancy Schafer
Nancy Schafer is a film and television producer known for her work on independent and documentary projects.
-
D.
Nancy Gross
Nancy Gross was the wife of renowned American film director Howard Hawks.
-
E.
Nancy Bavinger
Nancy Bavinger was the original client and co-owner of the experimental, organic modernist Bavinger House in Norman, Oklahoma, designed by architect Bruce Goff.
- 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: Nancy Snider Triple: [Snider, hasNotableBearer, Nancy Snider]
Generated description
Nancy Snider is an individual notable enough to be recognized as a prominent bearer of the surname Snider.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Snider Target entity description: Nancy Snider is an individual notable enough to be recognized as a prominent bearer of the surname Snider.
-
A.
Nancy Blansky
Nancy Blansky is the central character of the 1970s American sitcom "Blansky's Beauties," portrayed as a seasoned Las Vegas showbiz professional managing a troupe of young performers.
-
B.
Nancy Wyman
Nancy Wyman is an American Democratic politician who served as the 108th lieutenant governor of Connecticut and previously chaired the state’s Democratic Party.
-
C.
Nancy Schafer
Nancy Schafer is a film and television producer known for her work on independent and documentary projects.
-
D.
Nancy Gross
Nancy Gross was the wife of renowned American film director Howard Hawks.
-
E.
Nancy Bavinger
Nancy Bavinger was the original client and co-owner of the experimental, organic modernist Bavinger House in Norman, Oklahoma, designed by architect Bruce Goff.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af43f2188190b0e78f22dc6ba3f8 |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0653ef88190ad0e3a48675ecdcc |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1aa191081908266128776a2147a |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 8, 2026, 11:49 p.m.