Triple
T13789492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilda Live |
E331355
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Lisa Loopner
Lisa Loopner is a nerdy, socially awkward teenage girl character created and portrayed by Gilda Radner in her comedy sketches.
|
E1148396
|
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: Lisa Loopner | Statement: [Gilda Live, featuresCharacter, Lisa Loopner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Loopner Context triple: [Gilda Live, featuresCharacter, Lisa Loopner]
-
A.
Lisa Hackner
Lisa Hackner is a television producer best known for her executive production work on the daytime talk show "The Tyra Banks Show."
-
B.
Lisa Snider
Lisa Snider is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Snider.
-
C.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
D.
Lisa Emery
Lisa Emery is an American actress best known for her role as the ruthless heroin distributor Darlene Snell in the Netflix crime drama series "Ozark."
-
E.
Karen Rosenfelt
Karen Rosenfelt is an American film producer known for her work on major studio franchises and popular young adult adaptations, including entries in the Twilight series.
- 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: Lisa Loopner Triple: [Gilda Live, featuresCharacter, Lisa Loopner]
Generated description
Lisa Loopner is a nerdy, socially awkward teenage girl character created and portrayed by Gilda Radner in her comedy sketches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Loopner Target entity description: Lisa Loopner is a nerdy, socially awkward teenage girl character created and portrayed by Gilda Radner in her comedy sketches.
-
A.
Lisa Hackner
Lisa Hackner is a television producer best known for her executive production work on the daytime talk show "The Tyra Banks Show."
-
B.
Lisa Snider
Lisa Snider is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Snider.
-
C.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
D.
Lisa Emery
Lisa Emery is an American actress best known for her role as the ruthless heroin distributor Darlene Snell in the Netflix crime drama series "Ozark."
-
E.
Karen Rosenfelt
Karen Rosenfelt is an American film producer known for her work on major studio franchises and popular young adult adaptations, including entries in the Twilight series.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de024af32c8190a9bd1278e09564ba |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5a0824819097e41163e3092b68 |
completed | May 9, 2026, 8:24 a.m. |
| NEDg | Description generation | batch_69fef17e1b8481908600e8f2f60ebe98 |
completed | May 9, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1e8e41481908f2c8ebe1b1036fa |
completed | May 9, 2026, 8:35 a.m. |
Created at: April 9, 2026, 10:11 p.m.