Triple
T13849561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Ferrer |
E332897
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lori Weintraub
Lori Weintraub is an American film and television producer best known for her long marriage to actor Miguel Ferrer.
|
E1065822
|
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: Lori Weintraub | Statement: [Miguel Ferrer, spouse, Lori Weintraub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lori Weintraub Context triple: [Miguel Ferrer, spouse, Lori Weintraub]
-
A.
Jodi Wexler
Jodi Wexler is an actress best known for her role in the film "The Love Machine."
-
B.
Susan Eisenberg
Susan Eisenberg is an American voice actress best known for portraying Wonder Woman in numerous DC animated series and films.
-
C.
Melissa Rosenberg
Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
-
D.
Lori Singer
Lori Singer is an American actress and cellist best known for her role as Ariel Moore in the 1984 film "Footloose."
-
E.
Laurie Zaks
Laurie Zaks is a television producer best known for her work as an executive producer on the hit crime-comedy series "Castle."
- 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: Lori Weintraub Triple: [Miguel Ferrer, spouse, Lori Weintraub]
Generated description
Lori Weintraub is an American film and television producer best known for her long marriage to actor Miguel Ferrer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lori Weintraub Target entity description: Lori Weintraub is an American film and television producer best known for her long marriage to actor Miguel Ferrer.
-
A.
Jodi Wexler
Jodi Wexler is an actress best known for her role in the film "The Love Machine."
-
B.
Susan Eisenberg
Susan Eisenberg is an American voice actress best known for portraying Wonder Woman in numerous DC animated series and films.
-
C.
Melissa Rosenberg
Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
-
D.
Lori Singer
Lori Singer is an American actress and cellist best known for her role as Ariel Moore in the 1984 film "Footloose."
-
E.
Laurie Zaks
Laurie Zaks is a television producer best known for her work as an executive producer on the hit crime-comedy series "Castle."
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02d8fb788190baef7537be2baecb |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f35ba48190b8b071679251233f |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c23410dc8190972245cecfa85871 |
completed | May 3, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3031a0c8190ad30d59fe1f2322e |
completed | May 3, 2026, 9:49 p.m. |
Created at: April 9, 2026, 10:14 p.m.