Triple
T18943810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakeview Terrace |
E463453
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Lisa Mattson
Lisa Mattson is the female lead in the thriller film "Lakeview Terrace," whose escalating conflict with a hostile neighbor drives much of the movie’s tension and drama.
|
E1355860
|
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: Lisa Mattson | Statement: [Lakeview Terrace, mainCharacter, Lisa Mattson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Mattson Context triple: [Lakeview Terrace, mainCharacter, Lisa Mattson]
-
A.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
B.
DeAnna Madsen
DeAnna Madsen is an American actress known for her supporting roles in film and television and for being married to actor Michael Madsen.
-
C.
Kelly Hansen
Kelly Hansen is an American rock singer best known as the lead vocalist of the band Foreigner.
-
D.
Lisa Kehler
Lisa Kehler is an individual notable enough to be recognized as a prominent bearer of the surname Kehler.
-
E.
Lisa Lassek
Lisa Lassek is an American film and television editor known for her frequent collaborations with Joss Whedon on projects such as major Marvel superhero films and cult TV series.
- 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: Lisa Mattson Triple: [Lakeview Terrace, mainCharacter, Lisa Mattson]
Generated description
Lisa Mattson is the female lead in the thriller film "Lakeview Terrace," whose escalating conflict with a hostile neighbor drives much of the movie’s tension and drama.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Mattson Target entity description: Lisa Mattson is the female lead in the thriller film "Lakeview Terrace," whose escalating conflict with a hostile neighbor drives much of the movie’s tension and drama.
-
A.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
B.
DeAnna Madsen
DeAnna Madsen is an American actress known for her supporting roles in film and television and for being married to actor Michael Madsen.
-
C.
Kelly Hansen
Kelly Hansen is an American rock singer best known as the lead vocalist of the band Foreigner.
-
D.
Lisa Kehler
Lisa Kehler is an individual notable enough to be recognized as a prominent bearer of the surname Kehler.
-
E.
Lisa Lassek
Lisa Lassek is an American film and television editor known for her frequent collaborations with Joss Whedon on projects such as major Marvel superhero films and cult TV series.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ed847c8190a911a61673608a5c |
completed | April 20, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c539f23481909b4388d93cc845b2 |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c87a70308190bb61dea71e72f6a9 |
completed | May 14, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c8e6d99c8190b5ecd3a4a9b9ec02 |
completed | May 14, 2026, 1:06 p.m. |
Created at: April 10, 2026, 11:59 a.m.