Triple
T13240569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Little Hours |
E315267
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Lauren Weedman
Lauren Weedman is an American actress, comedian, and writer known for her sharp, character-driven comedy and appearances in film, television, and solo stage shows.
|
E1151249
|
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: Lauren Weedman | Statement: [The Little Hours, stars, Lauren Weedman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Weedman Context triple: [The Little Hours, stars, Lauren Weedman]
-
A.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
B.
Lauren Lyle
Lauren Lyle is a Scottish actress best known for her role as Marsali MacKimmie Fraser in the television series "Outlander."
-
C.
Lauren Greer
Lauren Greer is a notable individual recognized for achievements significant enough to be associated with the surname Greer.
-
D.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
E.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
- 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: Lauren Weedman Triple: [The Little Hours, stars, Lauren Weedman]
Generated description
Lauren Weedman is an American actress, comedian, and writer known for her sharp, character-driven comedy and appearances in film, television, and solo stage shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lauren Weedman Target entity description: Lauren Weedman is an American actress, comedian, and writer known for her sharp, character-driven comedy and appearances in film, television, and solo stage shows.
-
A.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
B.
Lauren Lyle
Lauren Lyle is a Scottish actress best known for her role as Marsali MacKimmie Fraser in the television series "Outlander."
-
C.
Lauren Greer
Lauren Greer is a notable individual recognized for achievements significant enough to be associated with the surname Greer.
-
D.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
E.
Lauren Nourse
Lauren Nourse is an Australian former netball player best known for her career with the Queensland Firebirds in the ANZ Championship.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ce8f988190b503af0cd5f2a97e |
completed | May 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ff02a62dcc819087eddd2f0b4c29cb |
completed | May 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff036153588190ae46fcde257eb3cb |
completed | May 9, 2026, 9:50 a.m. |
Created at: April 9, 2026, 9:23 p.m.