Triple
T3929609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charade |
E93363
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Regina Lampert
Regina Lampert is the witty and resourceful heroine of the 1963 romantic thriller film "Charade," famously portrayed by Audrey Hepburn.
|
E399164
|
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: Regina Lampert | Statement: [Charade, mainCharacter, Regina Lampert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regina Lampert Context triple: [Charade, mainCharacter, Regina Lampert]
-
A.
Kinga Lampert
Kinga Lampert is a philanthropist and breast cancer advocate best known as the co-founder and chair of the Breast Cancer Research Foundation.
-
B.
Adele Wolff
Adele Wolff is a fictional, thrill-seeking sniper and adrenaline junkie from the action film "xXx: Return of Xander Cage."
-
C.
Alice Englert
Alice Englert is an Australian actress, writer, and director known for roles in films like "Beautiful Creatures" and "Ginger & Rosa" and for her work on the series "Top of the Lake."
-
D.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
E.
Emma Berman
Emma Berman is an American voice actress best known for voicing Giulia Marcovaldo in Pixar's animated film "Luca."
- 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: Regina Lampert Triple: [Charade, mainCharacter, Regina Lampert]
Generated description
Regina Lampert is the witty and resourceful heroine of the 1963 romantic thriller film "Charade," famously portrayed by Audrey Hepburn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regina Lampert Target entity description: Regina Lampert is the witty and resourceful heroine of the 1963 romantic thriller film "Charade," famously portrayed by Audrey Hepburn.
-
A.
Kinga Lampert
Kinga Lampert is a philanthropist and breast cancer advocate best known as the co-founder and chair of the Breast Cancer Research Foundation.
-
B.
Adele Wolff
Adele Wolff is a fictional, thrill-seeking sniper and adrenaline junkie from the action film "xXx: Return of Xander Cage."
-
C.
Alice Englert
Alice Englert is an Australian actress, writer, and director known for roles in films like "Beautiful Creatures" and "Ginger & Rosa" and for her work on the series "Top of the Lake."
-
D.
Amy Landecker
Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
-
E.
Emma Berman
Emma Berman is an American voice actress best known for voicing Giulia Marcovaldo in Pixar's animated film "Luca."
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288094408190b5fece72ead94ec1 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b5293b41748190929665970712707a |
completed | March 14, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529e9080481908ff0ec30b295cfc3 |
completed | March 14, 2026, 9:27 a.m. |
Created at: March 9, 2026, 3:23 p.m.