Triple
T10131151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Woronov |
E226339
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sugar Cookies
"Sugar Cookies" is a 1973 erotic thriller film co-written by and starring Mary Woronov, known for its darkly satirical take on sex, power, and exploitation in the modeling world.
|
E841772
|
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: Sugar Cookies | Statement: [Mary Woronov, notableWork, Sugar Cookies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Cookies Context triple: [Mary Woronov, notableWork, Sugar Cookies]
-
A.
Pirouette cookies
Pirouette cookies are crisp, rolled wafer cookies with a hollow center, often filled with sweet flavored creams like chocolate or hazelnut.
-
B.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
-
C.
Sweet Treat
"Sweet Treat" is a song featured on the album *Knock Knock*.
-
D.
Lickety Split
Lickety Split is an ice cream and dessert shop located within Pantopia at Busch Gardens Tampa Bay.
-
E.
Cotton Candy
"Cotton Candy" is a popular jazz album and title track by trumpeter Al Hirt, showcasing his bright, melodic style in the early 1960s.
- 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: Sugar Cookies Triple: [Mary Woronov, notableWork, Sugar Cookies]
Generated description
"Sugar Cookies" is a 1973 erotic thriller film co-written by and starring Mary Woronov, known for its darkly satirical take on sex, power, and exploitation in the modeling world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sugar Cookies Target entity description: "Sugar Cookies" is a 1973 erotic thriller film co-written by and starring Mary Woronov, known for its darkly satirical take on sex, power, and exploitation in the modeling world.
-
A.
Pirouette cookies
Pirouette cookies are crisp, rolled wafer cookies with a hollow center, often filled with sweet flavored creams like chocolate or hazelnut.
-
B.
Sweetums
Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
-
C.
Sweet Treat
"Sweet Treat" is a song featured on the album *Knock Knock*.
-
D.
Lickety Split
Lickety Split is an ice cream and dessert shop located within Pantopia at Busch Gardens Tampa Bay.
-
E.
Cotton Candy
"Cotton Candy" is a popular jazz album and title track by trumpeter Al Hirt, showcasing his bright, melodic style in the early 1960s.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33557a88190b5fb1938646d8532 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc8462ac81908485115bcf2a2d19 |
completed | April 5, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69d2cdf5baac8190a117cb5cb00de215 |
completed | April 5, 2026, 9:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce71fa888190b8dd13df83a2cd78 |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:06 p.m.