Triple
T18510121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halloween (2018 film) |
E452315
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Karen Nelson
Karen Nelson is a central character in the 2018 horror film "Halloween," portrayed as Laurie Strode’s estranged daughter who must confront the legacy of Michael Myers.
|
E1446401
|
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: Karen Nelson | Statement: [Halloween (2018 film), character, Karen Nelson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Nelson Context triple: [Halloween (2018 film), character, Karen Nelson]
-
A.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
B.
Diane Nelson
Diane Nelson is an American media executive best known for serving as president of DC Entertainment and overseeing the DC Comics brand at Warner Bros.
-
C.
Sandra Nelson
Sandra Nelson is an American actress known for her roles in film and television, including a part in the Cole Porter biographical musical film "De-Lovely."
-
D.
Emily Nelson
Emily Nelson is a mysterious, stylish, and secretive woman whose sudden disappearance drives the darkly comedic thriller plot of "A Simple Favor."
-
E.
Liv Boughn
Liv Boughn is an actress known for her role in the cult sci-fi horror film "Sharktopus."
- 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: Karen Nelson Triple: [Halloween (2018 film), character, Karen Nelson]
Generated description
Karen Nelson is a central character in the 2018 horror film "Halloween," portrayed as Laurie Strode’s estranged daughter who must confront the legacy of Michael Myers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Nelson Target entity description: Karen Nelson is a central character in the 2018 horror film "Halloween," portrayed as Laurie Strode’s estranged daughter who must confront the legacy of Michael Myers.
-
A.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
B.
Diane Nelson
Diane Nelson is an American media executive best known for serving as president of DC Entertainment and overseeing the DC Comics brand at Warner Bros.
-
C.
Sandra Nelson
Sandra Nelson is an American actress known for her roles in film and television, including a part in the Cole Porter biographical musical film "De-Lovely."
-
D.
Emily Nelson
Emily Nelson is a mysterious, stylish, and secretive woman whose sudden disappearance drives the darkly comedic thriller plot of "A Simple Favor."
-
E.
Liv Boughn
Liv Boughn is an actress known for her role in the cult sci-fi horror film "Sharktopus."
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533457e608190988304bf8bc2db1c |
completed | April 19, 2026, 7:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e035bf9881909ea2cceb8a9363b3 |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e0937f688190a5270f3b144f5343 |
completed | May 16, 2026, 9:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e14ff70081909fc434f4d4a62a64 |
completed | May 16, 2026, 9:27 p.m. |
Created at: April 10, 2026, 11:36 a.m.