Triple
T15732158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Afterparty |
E381370
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Aubrey Lee
Aubrey Lee is a television producer best known for serving as an executive producer on the mystery-comedy series "The Afterparty."
|
E1180189
|
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: Aubrey Lee | Statement: [The Afterparty, executiveProducer, Aubrey Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aubrey Lee Context triple: [The Afterparty, executiveProducer, Aubrey Lee]
-
A.
Aubrey Woods
Aubrey Woods was a British actor best known for his role as Bill the Candy Man in the 1971 film "Willy Wonka & the Chocolate Factory."
-
B.
Aubrey Wisberg
Aubrey Wisberg was an American screenwriter, producer, and director known for his work on mid-20th-century films, particularly in the adventure and science fiction genres.
-
C.
Aubrey Haynie
Aubrey Haynie is an American bluegrass and country fiddler and mandolinist known for his virtuosic session work and solo recordings.
-
D.
Aubrey Mather
Aubrey Mather was a British character actor known for his numerous supporting roles in films from the 1930s to the 1950s.
-
E.
Aubrey Jones
Aubrey Jones was a British Conservative politician who served in senior government roles in the mid-20th century, notably in economic and industrial affairs.
- 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: Aubrey Lee Triple: [The Afterparty, executiveProducer, Aubrey Lee]
Generated description
Aubrey Lee is a television producer best known for serving as an executive producer on the mystery-comedy series "The Afterparty."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aubrey Lee Target entity description: Aubrey Lee is a television producer best known for serving as an executive producer on the mystery-comedy series "The Afterparty."
-
A.
Aubrey Woods
Aubrey Woods was a British actor best known for his role as Bill the Candy Man in the 1971 film "Willy Wonka & the Chocolate Factory."
-
B.
Aubrey Wisberg
Aubrey Wisberg was an American screenwriter, producer, and director known for his work on mid-20th-century films, particularly in the adventure and science fiction genres.
-
C.
Aubrey Haynie
Aubrey Haynie is an American bluegrass and country fiddler and mandolinist known for his virtuosic session work and solo recordings.
-
D.
Aubrey Mather
Aubrey Mather was a British character actor known for his numerous supporting roles in films from the 1930s to the 1950s.
-
E.
Aubrey Jones
Aubrey Jones was a British Conservative politician who served in senior government roles in the mid-20th century, notably in economic and industrial affairs.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa129a6448190affdee9d0b1362bc |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa417ee248190808b0fecfb58d705 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5372f248190827cdc4985fee1ef |
completed | May 9, 2026, 9:20 p.m. |
Created at: April 10, 2026, 4:46 a.m.