Triple
T9886012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Malinger |
E180932
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Laura Malinger
Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
|
E896399
|
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: Laura Malinger | Statement: [Ross Malinger, parent, Laura Malinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Malinger Context triple: [Ross Malinger, parent, Laura Malinger]
-
A.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
-
B.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
C.
Laura Harrington
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
-
D.
Christine Nagel
Christine Nagel is a renowned Swiss perfumer celebrated for creating numerous successful designer and niche fragrances for major luxury brands.
-
E.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
- 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: Laura Malinger Triple: [Ross Malinger, parent, Laura Malinger]
Generated description
Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Malinger Target entity description: Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
-
A.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
-
B.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
C.
Laura Harrington
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
-
D.
Christine Nagel
Christine Nagel is a renowned Swiss perfumer celebrated for creating numerous successful designer and niche fragrances for major luxury brands.
-
E.
Cynthia Malkin
Cynthia Malkin is an American heiress and philanthropist best known as the longtime wife of U.S. Senator Richard Blumenthal.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb45659748190a3ebd1abe23c8779 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d62cce008190ae269bbd289625a0 |
completed | April 18, 2026, 12:54 a.m. |
| NEDg | Description generation | batch_69e2fab58f588190ae2d33f32e71333b |
completed | April 18, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e317809c0881909e793db965194014 |
completed | April 18, 2026, 5:32 a.m. |
Created at: March 30, 2026, 8:38 p.m.