Triple
T3673131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meatballs |
E77924
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Debra Karen
Debra Karen is a film editor best known for her work on the comedy movie "Meatballs."
|
E380553
|
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: Debra Karen | Statement: [Meatballs, editedBy, Debra Karen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Karen Context triple: [Meatballs, editedBy, Debra Karen]
-
A.
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.
-
B.
Debra
Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
-
C.
Debra Hayward
Debra Hayward is a British film producer known for her work on major feature films, including the acclaimed musical adaptation "Les Misérables" (2012).
-
D.
Debbie Meadows
Debbie Meadows is an American political figure and businesswoman best known as the wife of former White House Chief of Staff and congressman Mark Meadows.
-
E.
Debra Barone
Debra Barone is the harried, sharp-witted wife and mother at the center of the sitcom "Everybody Loves Raymond," known for juggling family chaos and meddling in-laws with sarcasm and resilience.
- 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: Debra Karen Triple: [Meatballs, editedBy, Debra Karen]
Generated description
Debra Karen is a film editor best known for her work on the comedy movie "Meatballs."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debra Karen Target entity description: Debra Karen is a film editor best known for her work on the comedy movie "Meatballs."
-
A.
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.
-
B.
Debra
Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
-
C.
Debra Hayward
Debra Hayward is a British film producer known for her work on major feature films, including the acclaimed musical adaptation "Les Misérables" (2012).
-
D.
Debbie Meadows
Debbie Meadows is an American political figure and businesswoman best known as the wife of former White House Chief of Staff and congressman Mark Meadows.
-
E.
Debra Barone
Debra Barone is the harried, sharp-witted wife and mother at the center of the sitcom "Everybody Loves Raymond," known for juggling family chaos and meddling in-laws with sarcasm and resilience.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a047948190a50d1648fe209371 |
completed | March 14, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69b4c7a89eac819090ce443784e1a326 |
completed | March 14, 2026, 2:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c88111c08190b0c275898437fdab |
completed | March 14, 2026, 2:31 a.m. |
Created at: March 8, 2026, 3:25 p.m.