Triple
T10403418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheridan |
E245202
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Liz Sheridan
Liz Sheridan was an American actress best known for playing Jerry Seinfeld’s mother, Helen Seinfeld, on the sitcom "Seinfeld."
|
E874749
|
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: Liz Sheridan | Statement: [Sheridan, hasNotableBearer, Liz Sheridan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Sheridan Context triple: [Sheridan, hasNotableBearer, Liz Sheridan]
-
A.
Lisa Crouse
Lisa Crouse is a relative of Nico Blue Hoon, the daughter of late Blind Melon frontman Shannon Hoon.
-
B.
Calista Flockhart
Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
-
C.
Liza Elliott
Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
-
D.
Beth Broderick
Beth Broderick is an American actress best known for playing Aunt Zelda on the television series "Sabrina the Teenage Witch."
-
E.
Liz Rose
Liz Rose is an American country music songwriter best known for her frequent collaborations with Taylor Swift on several of Swift’s early hit songs.
- 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: Liz Sheridan Triple: [Sheridan, hasNotableBearer, Liz Sheridan]
Generated description
Liz Sheridan was an American actress best known for playing Jerry Seinfeld’s mother, Helen Seinfeld, on the sitcom "Seinfeld."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liz Sheridan Target entity description: Liz Sheridan was an American actress best known for playing Jerry Seinfeld’s mother, Helen Seinfeld, on the sitcom "Seinfeld."
-
A.
Lisa Crouse
Lisa Crouse is a relative of Nico Blue Hoon, the daughter of late Blind Melon frontman Shannon Hoon.
-
B.
Calista Flockhart
Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
-
C.
Liza Elliott
Liza Elliott is the conflicted, high-powered fashion magazine editor whose psychoanalytic journey drives the plot of the musical "Lady in the Dark."
-
D.
Beth Broderick
Beth Broderick is an American actress best known for playing Aunt Zelda on the television series "Sabrina the Teenage Witch."
-
E.
Liz Rose
Liz Rose is an American country music songwriter best known for her frequent collaborations with Taylor Swift on several of Swift’s early hit songs.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e535d48190b8fc377df543e058 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e5197cc8190ad70c665ec2f8fa8 |
completed | April 10, 2026, 8:32 p.m. |
| NEDg | Description generation | batch_69d95f508b6481909405f0404246c69e |
completed | April 10, 2026, 8:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9600a29808190af583d2fd696ec6a |
completed | April 10, 2026, 8:39 p.m. |
Created at: April 6, 2026, 12:08 p.m.