Triple
T13792476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlem (TV series) |
E331432
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Kim Lessing
Kim Lessing is a television producer and executive known for her work on the comedy series "Harlem."
|
E1061241
|
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: Kim Lessing | Statement: [Harlem (TV series), executiveProducer, Kim Lessing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Lessing Context triple: [Harlem (TV series), executiveProducer, Kim Lessing]
-
A.
Kathryn Prescott
Kathryn Prescott is an English actress best known for her roles in the TV series "Skins" and the film "A Dog’s Journey."
-
B.
Teresa Nielsen Hayden
Teresa Nielsen Hayden is an American science fiction editor, writer, and influential blogger known for her work at Tor Books and her role in online fan communities.
-
C.
Amy Lindley
Amy Lindley is a fictional character from the television series "Dawson's Creek," known as the daughter of Jen Lindley.
-
D.
Emily Greer
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
-
E.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
- 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: Kim Lessing Triple: [Harlem (TV series), executiveProducer, Kim Lessing]
Generated description
Kim Lessing is a television producer and executive known for her work on the comedy series "Harlem."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Lessing Target entity description: Kim Lessing is a television producer and executive known for her work on the comedy series "Harlem."
-
A.
Kathryn Prescott
Kathryn Prescott is an English actress best known for her roles in the TV series "Skins" and the film "A Dog’s Journey."
-
B.
Teresa Nielsen Hayden
Teresa Nielsen Hayden is an American science fiction editor, writer, and influential blogger known for her work at Tor Books and her role in online fan communities.
-
C.
Amy Lindley
Amy Lindley is a fictional character from the television series "Dawson's Creek," known as the daughter of Jen Lindley.
-
D.
Emily Greer
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
-
E.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0817bd88190a46e539f2ff24d83 |
completed | May 3, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 |
completed | May 3, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b20f67048190a641527353e3ff43 |
completed | May 3, 2026, 8:37 p.m. |
Created at: April 9, 2026, 10:11 p.m.