Triple
T16457314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knocked Up |
E399715
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Debbie
Debbie is a central supporting character in the comedy film "Knocked Up," portrayed as the responsible yet stressed sister of the female lead and wife of Pete.
|
E1214677
|
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: Debbie | Statement: [Knocked Up, featuresCharacter, Debbie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debbie Context triple: [Knocked Up, featuresCharacter, Debbie]
-
A.
Debbie
Debbie is the fictional lead character portrayed by Debbie Reynolds in the American sitcom "The Debbie Reynolds Show."
-
B.
Debra
Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
-
C.
Debra
Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
-
D.
Debra
Debra is a troubled, introspective teenage employee at the independent record store in the 1995 cult film "Empire Records."
-
E.
Debi
Debi is a feminine given name most notably associated with American actress Debi Mazar.
- 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: Debbie Triple: [Knocked Up, featuresCharacter, Debbie]
Generated description
Debbie is a central supporting character in the comedy film "Knocked Up," portrayed as the responsible yet stressed sister of the female lead and wife of Pete.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debbie Target entity description: Debbie is a central supporting character in the comedy film "Knocked Up," portrayed as the responsible yet stressed sister of the female lead and wife of Pete.
-
A.
Debbie
Debbie is the fictional lead character portrayed by Debbie Reynolds in the American sitcom "The Debbie Reynolds Show."
-
B.
Debra
Debra is a troubled, introspective teenage employee at the independent record store in the 1995 cult film "Empire Records."
-
C.
Debra
Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
-
D.
Debra
Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
-
E.
Debi
Debi is a feminine given name most notably associated with American actress Debi Mazar.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7dfd188190b03e9b4151a4d3d8 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f51d93081909ede0adcf8e604d4 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a004fb5c28c81909da3d7b9b5c2be72 |
completed | May 10, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00504d177c8190b4a4b4202d0167bb |
completed | May 10, 2026, 9:30 a.m. |
Created at: April 10, 2026, 5:10 a.m.