Triple
T16003755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Song |
E388158
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Nancy Richardson
Nancy Richardson is a film editor known for her work on feature films, including editing the romantic drama "The Last Song."
|
E1233920
|
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: Nancy Richardson | Statement: [The Last Song, editedBy, Nancy Richardson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Richardson Context triple: [The Last Song, editedBy, Nancy Richardson]
-
A.
Nancy Richardson
Nancy Richardson is a film editor best known for her work on movies such as the biographical sports comedy-drama "Fighting with My Family."
-
B.
Nancy Richardson
Nancy Richardson is a film editor best known for her work on the biographical musical drama "La Bamba."
-
C.
Nancy Richardson
Nancy Richardson is a film editor known for her work on notable movies including the drama "To Sleep with Anger."
-
D.
Nancy Richardson
Nancy Richardson is a film editor known for her work on major Hollywood productions, including the comedy heist movie "Tower Heist."
-
E.
Joanne Woodward
Joanne Woodward is an American actress and producer renowned for her Academy Award–winning performance in "The Three Faces of Eve" and her long, celebrated career in film, television, and theater.
- 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: Nancy Richardson Triple: [The Last Song, editedBy, Nancy Richardson]
Generated description
Nancy Richardson is a film editor known for her work on feature films, including editing the romantic drama "The Last Song."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nancy Richardson Target entity description: Nancy Richardson is a film editor known for her work on feature films, including editing the romantic drama "The Last Song."
-
A.
Nancy Richardson
Nancy Richardson is a film editor best known for her work on movies such as the biographical sports comedy-drama "Fighting with My Family."
-
B.
Nancy Richardson
Nancy Richardson is a film editor best known for her work on the biographical musical drama "La Bamba."
-
C.
Nancy Richardson
Nancy Richardson is a film editor known for her work on notable movies including the drama "To Sleep with Anger."
-
D.
Nancy Richardson
Nancy Richardson is a film editor known for her work on major Hollywood productions, including the comedy heist movie "Tower Heist."
-
E.
Joanne Woodward
Joanne Woodward is an American actress and producer renowned for her Academy Award–winning performance in "The Three Faces of Eve" and her long, celebrated career in film, television, and theater.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157fe776c81908f7bf29ef064a6ba |
completed | April 16, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae0f87c819085ebc7d475ebe8ba |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00aba5fb388190ab98a0c8ee50340b |
completed | May 10, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ac54a11c81909afe9244e9fe0656 |
completed | May 10, 2026, 4:03 p.m. |
Created at: April 10, 2026, 4:55 a.m.