Triple
T3301030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risky Business |
E69331
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Lana
Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
|
E346443
|
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: Lana | Statement: [Risky Business, mainCharacter, Lana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lana Context triple: [Risky Business, mainCharacter, Lana]
-
A.
Lorna
Lorna is a feminine given name most notably borne by American actress and singer Lorna Luft, the daughter of Judy Garland.
-
B.
Lana Morris
Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
-
C.
Alana
Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
-
D.
Lena
Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
-
E.
Lena
Lena is a common feminine given name used in many languages, often derived from longer names such as Magdalena or Helena.
- 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: Lana Triple: [Risky Business, mainCharacter, Lana]
Generated description
Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lana Target entity description: Lana is the seductive call girl who becomes the central love interest and catalyst for chaos in the 1983 film "Risky Business."
-
A.
Lorna
Lorna is a feminine given name most notably borne by American actress and singer Lorna Luft, the daughter of Judy Garland.
-
B.
Lana Morris
Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
-
C.
Alana
Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
-
D.
Lena
Lena is an alternate given name of Lee Krasner, the influential American abstract expressionist painter and wife of Jackson Pollock.
-
E.
Lena
Lena is a common feminine given name used in many languages, often derived from longer names such as Magdalena or Helena.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a7d224819080d9a638e08bb8a8 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3db14ac819083182f56c60b61b2 |
completed | March 12, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_69b2fa0ed27c8190a32c153b44b7b2dd |
completed | March 12, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b312b273b48190a949e61b87722084 |
completed | March 12, 2026, 7:23 p.m. |
Created at: March 8, 2026, 3:11 p.m.