Triple
T14558960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hustlers |
E341617
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Kayla Emter
Kayla Emter is a film editor best known for her work on the crime drama film "Hustlers."
|
E1162749
|
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: Kayla Emter | Statement: [Hustlers, editedBy, Kayla Emter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kayla Emter Context triple: [Hustlers, editedBy, Kayla Emter]
-
A.
Kayla Reeves
Kayla Reeves is an American rock vocalist best known for her performances as a singer with the symphonic rock group Trans-Siberian Orchestra.
-
B.
Kayla Compton
Kayla Compton is an American actress best known for her role as Allegra Garcia on the superhero television series "The Flash."
-
C.
Kaitlyn Robrock
Kaitlyn Robrock is an American voice actress best known for portraying iconic animated characters, including serving as the current voice of Minnie Mouse for Disney.
-
D.
Kayla Moore
Kayla Moore is an American conservative activist and former president of the Foundation for Moral Law, best known for her prominent role in supporting the political and judicial career of her husband, Roy Moore.
-
E.
Kaitlin Cullum
Kaitlin Cullum is an American actress best known for her role as one of the children on the 1990s sitcom "Grace Under Fire."
- 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: Kayla Emter Triple: [Hustlers, editedBy, Kayla Emter]
Generated description
Kayla Emter is a film editor best known for her work on the crime drama film "Hustlers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kayla Emter Target entity description: Kayla Emter is a film editor best known for her work on the crime drama film "Hustlers."
-
A.
Kayla Reeves
Kayla Reeves is an American rock vocalist best known for her performances as a singer with the symphonic rock group Trans-Siberian Orchestra.
-
B.
Kayla Compton
Kayla Compton is an American actress best known for her role as Allegra Garcia on the superhero television series "The Flash."
-
C.
Kaitlyn Robrock
Kaitlyn Robrock is an American voice actress best known for portraying iconic animated characters, including serving as the current voice of Minnie Mouse for Disney.
-
D.
Kayla Moore
Kayla Moore is an American conservative activist and former president of the Foundation for Moral Law, best known for her prominent role in supporting the political and judicial career of her husband, Roy Moore.
-
E.
Kaitlin Cullum
Kaitlin Cullum is an American actress best known for her role as one of the children on the 1990s sitcom "Grace Under Fire."
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d379bc881908b7954c633787165 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff419dbffc8190bab9ae378e2f6858 |
completed | May 9, 2026, 2:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff41e95bf08190965a870acb72edb6 |
completed | May 9, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:23 a.m.