Triple
T3691942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scream 4 |
E78362
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Cathy Meils
Cathy Meils is a film editor known for her work on the horror sequel "Scream 4."
|
E526873
|
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: Cathy Meils | Statement: [Scream 4, editedBy, Cathy Meils]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathy Meils Context triple: [Scream 4, editedBy, Cathy Meils]
-
A.
Cathy Shumway
Cathy Shumway is a character from the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
-
B.
Cathy Ferguson
Cathy Ferguson is the wife of legendary Scottish football manager Sir Alex Ferguson and is known for her long-standing support throughout his career.
-
C.
Kathy Speer
Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
-
D.
Colleen Ahland
Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
-
E.
Cathy Engelbert
Cathy Engelbert is an American business executive who became the first commissioner of the WNBA after previously serving as CEO of Deloitte.
- 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: Cathy Meils Triple: [Scream 4, editedBy, Cathy Meils]
Generated description
Cathy Meils is a film editor known for her work on the horror sequel "Scream 4."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cathy Meils Target entity description: Cathy Meils is a film editor known for her work on the horror sequel "Scream 4."
-
A.
Cathy Shumway
Cathy Shumway is a character from the satirical 1970s television soap opera "Mary Hartman, Mary Hartman."
-
B.
Cathy Ferguson
Cathy Ferguson is the wife of legendary Scottish football manager Sir Alex Ferguson and is known for her long-standing support throughout his career.
-
C.
Kathy Speer
Kathy Speer is an American television writer and producer best known for her work on popular sitcoms such as The Golden Girls and its spin-off The Golden Palace.
-
D.
Colleen Ahland
Colleen Ahland is a linguist known for her research on the Koman languages of Ethiopia and Sudan, focusing on their documentation, description, and classification.
-
E.
Cathy Engelbert
Cathy Engelbert is an American business executive who became the first commissioner of the WNBA after previously serving as CEO of Deloitte.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4e783a88190b2837a68b8723a25 |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfcb931f908190b72d825b95ae4861 |
completed | March 22, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69bfcc18e6dc8190898af6fdb0b17cbc |
completed | March 22, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfcc796c808190bb9f83a7014ef7db |
completed | March 22, 2026, 11:03 a.m. |
Created at: March 8, 2026, 3:26 p.m.