Triple
T11685658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Day |
E277735
|
entity |
| Predicate | loveInterest |
P7325
|
FINISHED |
| Object |
Sam Sweeney
Sam Sweeney is a recurring character on the TV sitcom "New Girl," known as one of Jessica Day’s significant romantic partners.
|
E944131
|
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: Sam Sweeney | Statement: [Jessica Day, loveInterest, Sam Sweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Sweeney Context triple: [Jessica Day, loveInterest, Sam Sweeney]
-
A.
Day O’Connor
Day O’Connor is the family name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
-
B.
Jack Doolan
Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
-
C.
Eddie Cahill
Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
-
D.
Jack O'Conner
Jack O'Conner is a minor character in the Fast & Furious film franchise, known as the young son of protagonist Brian O'Conner and Mia Toretto.
-
E.
Tom Henighan
Tom Henighan is a researcher and co-author known for his work in large-scale language models and AI, including contributions to influential OpenAI publications.
- 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: Sam Sweeney Triple: [Jessica Day, loveInterest, Sam Sweeney]
Generated description
Sam Sweeney is a recurring character on the TV sitcom "New Girl," known as one of Jessica Day’s significant romantic partners.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Sweeney Target entity description: Sam Sweeney is a recurring character on the TV sitcom "New Girl," known as one of Jessica Day’s significant romantic partners.
-
A.
Day O’Connor
Day O’Connor is the family name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
-
B.
Jack Doolan
Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
-
C.
Eddie Cahill
Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
-
D.
Jack O'Conner
Jack O'Conner is a minor character in the Fast & Furious film franchise, known as the young son of protagonist Brian O'Conner and Mia Toretto.
-
E.
Tom Henighan
Tom Henighan is a researcher and co-author known for his work in large-scale language models and AI, including contributions to influential OpenAI publications.
- 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_69f01943196c8190900b46da238e1f24 |
completed | April 28, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_69f01d7ab930819095eaae226ab55b80 |
completed | April 28, 2026, 2:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f043ddbfe481908e0c439dbd3e944f |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 8, 2026, 9:40 p.m.