Triple
T12769679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House Bunny |
E305211
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Dana Goodman
Dana Goodman is an American actress and comedian best known for her roles in broad, raunchy comedies such as "The House Bunny."
|
E1003302
|
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: Dana Goodman | Statement: [The House Bunny, starring, Dana Goodman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Goodman Context triple: [The House Bunny, starring, Dana Goodman]
-
A.
Robyn Goodman
Robyn Goodman is an American theater producer best known for her influential work in developing and producing successful Broadway and Off-Broadway shows.
-
B.
Deborah Weisman
Deborah Weisman is a member of the Weisman family, known primarily in relation to Daniel Weisman.
-
C.
Dana Barron
Dana Barron is an American actress best known for originating the role of Audrey Griswold in the comedy film "National Lampoon’s Vacation."
-
D.
Dana Glauberman
Dana Glauberman is an American film editor known for her work on numerous high-profile feature films and collaborations with director Jason Reitman.
-
E.
Diana Goodman
Diana Goodman is the emotionally struggling suburban mother at the center of the rock musical "Next to Normal," whose battle with mental illness drives the show's narrative.
- 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: Dana Goodman Triple: [The House Bunny, starring, Dana Goodman]
Generated description
Dana Goodman is an American actress and comedian best known for her roles in broad, raunchy comedies such as "The House Bunny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dana Goodman Target entity description: Dana Goodman is an American actress and comedian best known for her roles in broad, raunchy comedies such as "The House Bunny."
-
A.
Robyn Goodman
Robyn Goodman is an American theater producer best known for her influential work in developing and producing successful Broadway and Off-Broadway shows.
-
B.
Deborah Weisman
Deborah Weisman is a member of the Weisman family, known primarily in relation to Daniel Weisman.
-
C.
Dana Barron
Dana Barron is an American actress best known for originating the role of Audrey Griswold in the comedy film "National Lampoon’s Vacation."
-
D.
Dana Glauberman
Dana Glauberman is an American film editor known for her work on numerous high-profile feature films and collaborations with director Jason Reitman.
-
E.
Diana Goodman
Diana Goodman is the emotionally struggling suburban mother at the center of the rock musical "Next to Normal," whose battle with mental illness drives the show's narrative.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f9ba848190b680d730b6a3b972 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f685dc63f48190bb68f9859e99e3b4 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68a92226881909600555332c2c370 |
completed | May 2, 2026, 11:36 p.m. |
Created at: April 9, 2026, 5:28 p.m.