Triple
T20183504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anaconda (1997 film) |
E492792
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Verna Harrah
Verna Harrah was an American film producer and philanthropist, best known for producing genre films in the 1990s and 2000s.
|
E1415801
|
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: Verna Harrah | Statement: [Anaconda (1997 film), producer, Verna Harrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verna Harrah Context triple: [Anaconda (1997 film), producer, Verna Harrah]
-
A.
Carrie Laughlin
Carrie Laughlin is a central character in the 1993 crime thriller film "Kalifornia," which follows a cross-country road trip that turns increasingly dark and violent.
-
B.
Lurene Tuttle
Lurene Tuttle was an American character actress known for her prolific work in radio, film, and television from the 1930s through the 1970s.
-
C.
Cissy Yost
Cissy Yost is a central character in the television series "John from Cincinnati," depicted as a strong-willed matriarch in a troubled surfing family.
-
D.
Virgie Mae Tabers
Virgie Mae Tabers is best known as the mother of American model and television personality Anna Nicole Smith.
-
E.
Elsie Magoon
Elsie Magoon is a literary work by 19th-century American suffragist, abolitionist, and author Frances Dana Barker Gage.
- 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: Verna Harrah Triple: [Anaconda (1997 film), producer, Verna Harrah]
Generated description
Verna Harrah was an American film producer and philanthropist, best known for producing genre films in the 1990s and 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verna Harrah Target entity description: Verna Harrah was an American film producer and philanthropist, best known for producing genre films in the 1990s and 2000s.
-
A.
Carrie Laughlin
Carrie Laughlin is a central character in the 1993 crime thriller film "Kalifornia," which follows a cross-country road trip that turns increasingly dark and violent.
-
B.
Lurene Tuttle
Lurene Tuttle was an American character actress known for her prolific work in radio, film, and television from the 1930s through the 1970s.
-
C.
Cissy Yost
Cissy Yost is a central character in the television series "John from Cincinnati," depicted as a strong-willed matriarch in a troubled surfing family.
-
D.
Virgie Mae Tabers
Virgie Mae Tabers is best known as the mother of American model and television personality Anna Nicole Smith.
-
E.
Elsie Magoon
Elsie Magoon is a literary work by 19th-century American suffragist, abolitionist, and author Frances Dana Barker Gage.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c7febf8819091f9b551b3d3b779 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d3196148190847a625ad09762a2 |
completed | May 16, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083e04aab88190a1e0219427d8d0e1 |
completed | May 16, 2026, 9:51 a.m. |
Created at: April 11, 2026, 11:36 p.m.