Triple
T1105251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panic Room |
E25473
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Meg Altman
Meg Altman is the resourceful mother and central protagonist of the thriller film "Panic Room," portrayed by Jodie Foster.
|
E132888
|
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: Meg Altman | Statement: [Panic Room, character, Meg Altman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meg Altman Context triple: [Panic Room, character, Meg Altman]
-
A.
Meg Kasdan
Meg Kasdan is an American filmmaker and screenwriter known for her collaborative work with her husband, director Lawrence Kasdan, on several acclaimed films.
-
B.
Avery Lipman
Avery Lipman is an American music industry executive and co-founder of Republic Records, known for helping build it into a major label representing many top-charting artists.
-
C.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
D.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
E.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World 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: Meg Altman Triple: [Panic Room, character, Meg Altman]
Generated description
Meg Altman is the resourceful mother and central protagonist of the thriller film "Panic Room," portrayed by Jodie Foster.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meg Altman Target entity description: Meg Altman is the resourceful mother and central protagonist of the thriller film "Panic Room," portrayed by Jodie Foster.
-
A.
Meg Kasdan
Meg Kasdan is an American filmmaker and screenwriter known for her collaborative work with her husband, director Lawrence Kasdan, on several acclaimed films.
-
B.
Avery Lipman
Avery Lipman is an American music industry executive and co-founder of Republic Records, known for helping build it into a major label representing many top-charting artists.
-
C.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
D.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
E.
Dana DeMuth
Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e21f048190bf4b63dd2c7c7641 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac66293b5c819091eb69db328d5698 |
completed | March 7, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69ac671c11f48190afeebfe76544ef70 |
completed | March 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac6787d5908190b154ff700227d282 |
completed | March 7, 2026, 5:59 p.m. |
Created at: March 1, 2026, 7:43 p.m.