Triple
T11685659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Day |
E277735
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object |
Paul Genzlinger
Paul Genzlinger is a mild-mannered, somewhat awkward music teacher who briefly dates Jessica Day on the TV sitcom "New Girl."
|
E940938
|
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: Paul Genzlinger | Statement: [Jessica Day, loveInterest, Paul Genzlinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Genzlinger Context triple: [Jessica Day, loveInterest, Paul Genzlinger]
-
A.
David Goodis
David Goodis was an American noir and hardboiled crime novelist known for his bleak, psychologically driven stories of down-and-out characters.
-
B.
Michael Kimmelman
Michael Kimmelman is an American architecture critic and journalist best known for his work at The New York Times.
-
C.
Kevin Crowe
Kevin Crowe is a songwriter best known for co-writing the hit track "Young, Wild & Free."
-
D.
Kevin Turen
Kevin Turen is an American film and television producer known for working on acclaimed independent projects and prestige series.
-
E.
Michiko Kakutani
Michiko Kakutani is an influential American literary critic best known for her long tenure as chief book critic for The New York Times.
- 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: Paul Genzlinger Triple: [Jessica Day, loveInterest, Paul Genzlinger]
Generated description
Paul Genzlinger is a mild-mannered, somewhat awkward music teacher who briefly dates Jessica Day on the TV sitcom "New Girl."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Genzlinger Target entity description: Paul Genzlinger is a mild-mannered, somewhat awkward music teacher who briefly dates Jessica Day on the TV sitcom "New Girl."
-
A.
David Goodis
David Goodis was an American noir and hardboiled crime novelist known for his bleak, psychologically driven stories of down-and-out characters.
-
B.
Michael Kimmelman
Michael Kimmelman is an American architecture critic and journalist best known for his work at The New York Times.
-
C.
Kevin Crowe
Kevin Crowe is a songwriter best known for co-writing the hit track "Young, Wild & Free."
-
D.
Kevin Turen
Kevin Turen is an American film and television producer known for working on acclaimed independent projects and prestige series.
-
E.
Michiko Kakutani
Michiko Kakutani is an influential American literary critic best known for her long tenure as chief book critic for The New York Times.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a463f6448190a4c8e1651a2bd905 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1433be908190b2ac887655a6c85a |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef511f8f688190b2806d4e8ab16511 |
completed | April 27, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef537efcc48190afffaa50f28940d8 |
completed | April 27, 2026, 12:15 p.m. |
Created at: April 8, 2026, 9:40 p.m.