Triple
T22573740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kissing on the Mouth |
E544338
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Kate Winterich
Kate Winterich is an actress known for her role in the independent film "Kissing on the Mouth."
|
E1543038
|
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: Kate Winterich | Statement: [Kissing on the Mouth, hasCastMember, Kate Winterich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Winterich Context triple: [Kissing on the Mouth, hasCastMember, Kate Winterich]
-
A.
Katia Winter
Katia Winter is a Swedish actress best known for her roles in television series such as Sleepy Hollow and Dexter.
-
B.
Julia Winter
Julia Winter is a Swedish-born British actress best known for playing the spoiled heiress Veruca Salt in the 2005 film "Charlie and the Chocolate Factory."
-
C.
Anna Jachthuber
Anna Jachthuber was the wife of William S. Harley, co-founder of the Harley-Davidson Motor Company.
-
D.
Emma Steinkellner
Emma Steinkellner is an American cartoonist and illustrator known for her work on graphic novels and comics such as "The Okay Witch."
-
E.
Anna Veith
Anna Veith is an Austrian alpine ski racer and Olympic champion known especially for her success in giant slalom and overall World Cup titles.
- 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: Kate Winterich Triple: [Kissing on the Mouth, hasCastMember, Kate Winterich]
Generated description
Kate Winterich is an actress known for her role in the independent film "Kissing on the Mouth."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Winterich Target entity description: Kate Winterich is an actress known for her role in the independent film "Kissing on the Mouth."
-
A.
Katia Winter
Katia Winter is a Swedish actress best known for her roles in television series such as Sleepy Hollow and Dexter.
-
B.
Julia Winter
Julia Winter is a Swedish-born British actress best known for playing the spoiled heiress Veruca Salt in the 2005 film "Charlie and the Chocolate Factory."
-
C.
Anna Jachthuber
Anna Jachthuber was the wife of William S. Harley, co-founder of the Harley-Davidson Motor Company.
-
D.
Emma Steinkellner
Emma Steinkellner is an American cartoonist and illustrator known for her work on graphic novels and comics such as "The Okay Witch."
-
E.
Anna Veith
Anna Veith is an Austrian alpine ski racer and Olympic champion known especially for her success in giant slalom and overall World Cup titles.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fea683c81908fbf9f171eed3341 |
completed | April 29, 2026, 1:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d7ad7888190b2815c074475d932 |
completed | May 18, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_6a0b3648cb208190b749e343c3d5c88d |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b37002120819097bf1f6e56b6afe5 |
completed | May 18, 2026, 3:57 p.m. |
Created at: April 16, 2026, 8:53 p.m.