Triple
T5822906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Congeniality 2: Armed and Fabulous |
E129151
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Heather Burns
Heather Burns is an American actress best known for her comedic supporting roles in films such as "Miss Congeniality" and "You've Got Mail."
|
E669577
|
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: Heather Burns | Statement: [Miss Congeniality 2: Armed and Fabulous, castMember, Heather Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Burns Context triple: [Miss Congeniality 2: Armed and Fabulous, castMember, Heather Burns]
-
A.
Heather Persons
Heather Persons is a film editor best known for her work on the independent comedy-drama "Sunshine Cleaning."
-
B.
Heather Gibson
Heather Gibson is known as the wife of the late British actor Richard Griffiths, acclaimed for his roles in film, television, and theatre.
-
C.
Heather Thomas
Heather Thomas is an American actress, author, and former television personality best known for her role as Jody Banks on the 1980s TV series "The Fall Guy."
-
D.
Megan Burns
Megan Burns is a British actress best known for her role as Hannah in the post-apocalyptic horror film "28 Days Later."
-
E.
Shannon Doughton
Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
- 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: Heather Burns Triple: [Miss Congeniality 2: Armed and Fabulous, castMember, Heather Burns]
Generated description
Heather Burns is an American actress best known for her comedic supporting roles in films such as "Miss Congeniality" and "You've Got Mail."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heather Burns Target entity description: Heather Burns is an American actress best known for her comedic supporting roles in films such as "Miss Congeniality" and "You've Got Mail."
-
A.
Heather Persons
Heather Persons is a film editor best known for her work on the independent comedy-drama "Sunshine Cleaning."
-
B.
Heather Gibson
Heather Gibson is known as the wife of the late British actor Richard Griffiths, acclaimed for his roles in film, television, and theatre.
-
C.
Heather Thomas
Heather Thomas is an American actress, author, and former television personality best known for her role as Jody Banks on the 1980s TV series "The Fall Guy."
-
D.
Megan Burns
Megan Burns is a British actress best known for her role as Hannah in the post-apocalyptic horror film "28 Days Later."
-
E.
Shannon Doughton
Shannon Doughton is a musician best known as a principal performer associated with the band Pod.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0341715bc81909568b00ccc79869d |
completed | March 22, 2026, 6:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845c232188190a3391ce5159f49bb |
completed | March 28, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69c846d0b1348190bc2bf23e75c535a9 |
completed | March 28, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84748b8988190b4f85c253ea9e403 |
completed | March 28, 2026, 9:25 p.m. |
Created at: March 22, 2026, 3:53 p.m.