Triple
T11937029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stop Making Sense |
E284071
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Lisa Day
Lisa Day is a film editor best known for her work on the acclaimed concert film "Stop Making Sense."
|
E954908
|
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: Lisa Day | Statement: [Stop Making Sense, editedBy, Lisa Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Day Context triple: [Stop Making Sense, editedBy, Lisa Day]
-
A.
Jessica Day
Jessica Day is the quirky, optimistic schoolteacher protagonist of the sitcom "New Girl," portrayed by Zooey Deschanel.
-
B.
Nina Day
Nina Day is the wife of Ohio State University head football coach Ryan Day and is known for her involvement in philanthropy and mental health advocacy.
-
C.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
D.
Lisa Davis
Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
-
E.
Nessa Jenkins
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
- 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: Lisa Day Triple: [Stop Making Sense, editedBy, Lisa Day]
Generated description
Lisa Day is a film editor best known for her work on the acclaimed concert film "Stop Making Sense."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Day Target entity description: Lisa Day is a film editor best known for her work on the acclaimed concert film "Stop Making Sense."
-
A.
Jessica Day
Jessica Day is the quirky, optimistic schoolteacher protagonist of the sitcom "New Girl," portrayed by Zooey Deschanel.
-
B.
Nina Day
Nina Day is the wife of Ohio State University head football coach Ryan Day and is known for her involvement in philanthropy and mental health advocacy.
-
C.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
D.
Lisa Davis
Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
-
E.
Nessa Jenkins
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903094218819092e11b273d87de65 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4408d497c8190b051225140125e1f |
completed | May 1, 2026, 5:56 a.m. |
| NEDg | Description generation | batch_69f448fc874081908fe05f9d8aff11a3 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44afdc7b08190bdf47cfcb94c34c8 |
completed | May 1, 2026, 6:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.