Triple
T14358548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Perfect Guy |
E356035
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Leah Vaughn
Leah Vaughn is the successful professional woman whose seemingly ideal new romance turns dangerously obsessive in the 2015 thriller film "The Perfect Guy."
|
E1118665
|
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: Leah Vaughn | Statement: [The Perfect Guy, mainCharacter, Leah Vaughn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leah Vaughn Context triple: [The Perfect Guy, mainCharacter, Leah Vaughn]
-
A.
Leah Haywood
Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
-
B.
Leah Ayres
Leah Ayres is an American actress best known for her roles in 1980s films and television series, including the cult martial arts movie "Bloodsport."
-
C.
Leah Clarke
Leah Clarke is a film producer known for her work on the legal drama thriller "The Mauritanian."
-
D.
Leah Ray
Leah Ray was an American singer and film actress active in the 1930s, known for her musical performances in Hollywood productions.
-
E.
Leah Wood
Leah Wood is a British singer, model, and television personality, best known as the daughter of Rolling Stones guitarist Ronnie Wood.
- 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: Leah Vaughn Triple: [The Perfect Guy, mainCharacter, Leah Vaughn]
Generated description
Leah Vaughn is the successful professional woman whose seemingly ideal new romance turns dangerously obsessive in the 2015 thriller film "The Perfect Guy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leah Vaughn Target entity description: Leah Vaughn is the successful professional woman whose seemingly ideal new romance turns dangerously obsessive in the 2015 thriller film "The Perfect Guy."
-
A.
Leah Haywood
Leah Haywood is an Australian singer-songwriter and producer known for both her own pop releases and her songwriting work for major international artists.
-
B.
Leah Ayres
Leah Ayres is an American actress best known for her roles in 1980s films and television series, including the cult martial arts movie "Bloodsport."
-
C.
Leah Clarke
Leah Clarke is a film producer known for her work on the legal drama thriller "The Mauritanian."
-
D.
Leah Ray
Leah Ray was an American singer and film actress active in the 1930s, known for her musical performances in Hollywood productions.
-
E.
Leah Wood
Leah Wood is a British singer, model, and television personality, best known as the daughter of Rolling Stones guitarist Ronnie Wood.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cd3aa20819089c8527faf1ceddd |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe17d456e08190859ac76ee7e21e8c |
completed | May 8, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1836cf688190a3bea0939d2ea920 |
completed | May 8, 2026, 5:07 p.m. |
Created at: April 10, 2026, 1:15 a.m.