Triple
T15192925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Band Called Death |
E363064
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Sarah DiLeo
Sarah DiLeo is a film and television producer best known for her work on the acclaimed documentary "A Band Called Death."
|
E1285752
|
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: Sarah DiLeo | Statement: [A Band Called Death, producer, Sarah DiLeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah DiLeo Context triple: [A Band Called Death, producer, Sarah DiLeo]
-
A.
Jessica DiCicco
Jessica DiCicco is an American voice actress known for her work in numerous animated television series and films, including roles on shows like Adventure Time and The Loud House.
-
B.
Carina DeLuca
Carina DeLuca is a fictional Italian OB/GYN and sexologist on the television series "Grey's Anatomy" and its spin-off "Station 19."
-
C.
Samantha Boscarino
Samantha Boscarino is an American actress best known for her roles in teen-oriented television series and films, including a starring role on Nickelodeon’s "How to Rock."
-
D.
Jennifer DiNuccio
Jennifer DiNuccio is one of the socially awkward teenage protagonists in the early 1980s high school sitcom "Square Pegs."
-
E.
Lisa Loiacono
Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
- 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: Sarah DiLeo Triple: [A Band Called Death, producer, Sarah DiLeo]
Generated description
Sarah DiLeo is a film and television producer best known for her work on the acclaimed documentary "A Band Called Death."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah DiLeo Target entity description: Sarah DiLeo is a film and television producer best known for her work on the acclaimed documentary "A Band Called Death."
-
A.
Jessica DiCicco
Jessica DiCicco is an American voice actress known for her work in numerous animated television series and films, including roles on shows like Adventure Time and The Loud House.
-
B.
Carina DeLuca
Carina DeLuca is a fictional Italian OB/GYN and sexologist on the television series "Grey's Anatomy" and its spin-off "Station 19."
-
C.
Samantha Boscarino
Samantha Boscarino is an American actress best known for her roles in teen-oriented television series and films, including a starring role on Nickelodeon’s "How to Rock."
-
D.
Jennifer DiNuccio
Jennifer DiNuccio is one of the socially awkward teenage protagonists in the early 1980s high school sitcom "Square Pegs."
-
E.
Lisa Loiacono
Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067d55ac8190b7a7fce36e6ddf3c |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242d952988190b9b3eaca8fa92431 |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a0246f31c8c819097685337f0f14dad |
completed | May 11, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02478d775c8190ac9d14bd260e7eca |
completed | May 11, 2026, 9:18 p.m. |
Created at: April 10, 2026, 3:10 a.m.