Triple
T6730692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can’t Hardly Wait |
E153625
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Amanda Beckett
Amanda Beckett is the popular high school girl and central love interest in the teen comedy film "Can’t Hardly Wait."
|
E615955
|
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: Amanda Beckett | Statement: [Can’t Hardly Wait, mainCharacter, Amanda Beckett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Beckett Context triple: [Can’t Hardly Wait, mainCharacter, Amanda Beckett]
-
A.
Amanda Kelly
Amanda Kelly is a technology entrepreneur best known as a co-founder of Streamlit, an open-source framework for building data and machine learning web apps in Python.
-
B.
Amanda Clifton
Amanda Clifton is an American sports executive and advocate best known as the wife of WNBA star Elena Delle Donne and for her work promoting women’s basketball and LGBTQ+ visibility.
-
C.
Amanda Hopkinson
Amanda Hopkinson is a British literary translator and academic known for translating major works of Spanish and Latin American literature into English.
-
D.
Becky Leeman
Becky Leeman is the ambitious, manipulative beauty pageant contestant and primary antagonist in the dark comedy film "Drop Dead Gorgeous."
-
E.
Laura Weymouth
Laura Weymouth is a musician best known as a member of the new wave band Tom Tom Club.
- 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: Amanda Beckett Triple: [Can’t Hardly Wait, mainCharacter, Amanda Beckett]
Generated description
Amanda Beckett is the popular high school girl and central love interest in the teen comedy film "Can’t Hardly Wait."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amanda Beckett Target entity description: Amanda Beckett is the popular high school girl and central love interest in the teen comedy film "Can’t Hardly Wait."
-
A.
Amanda Kelly
Amanda Kelly is a technology entrepreneur best known as a co-founder of Streamlit, an open-source framework for building data and machine learning web apps in Python.
-
B.
Amanda Clifton
Amanda Clifton is an American sports executive and advocate best known as the wife of WNBA star Elena Delle Donne and for her work promoting women’s basketball and LGBTQ+ visibility.
-
C.
Amanda Hopkinson
Amanda Hopkinson is a British literary translator and academic known for translating major works of Spanish and Latin American literature into English.
-
D.
Becky Leeman
Becky Leeman is the ambitious, manipulative beauty pageant contestant and primary antagonist in the dark comedy film "Drop Dead Gorgeous."
-
E.
Laura Weymouth
Laura Weymouth is a musician best known as a member of the new wave band Tom Tom Club.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b029960819090de37c99e80ceb9 |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70bf3e2fc8190bc5d044b890ddc02 |
completed | March 27, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70cece560819099b488a95a3c79c5 |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:09 p.m.