Triple
T20387473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don't Make Me Go |
E497995
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Jessica Rose Weiss
Jessica Rose Weiss is a film composer known for creating emotionally resonant scores for contemporary movies and television.
|
E1427548
|
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: Jessica Rose Weiss | Statement: [Don't Make Me Go, musicBy, Jessica Rose Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Rose Weiss Context triple: [Don't Make Me Go, musicBy, Jessica Rose Weiss]
-
A.
Rachel Ann Weiss
Rachel Ann Weiss is the daughter of acclaimed American actress Kathleen Turner and is known for her work as a singer-songwriter.
-
B.
Jessica Rose Wyman
Jessica Rose Wyman is the daughter of Bill Wyman, the former bassist of the Rolling Stones.
-
C.
Jessica Tuchinsky
Jessica Tuchinsky is a television and film producer known for her executive production work on the miniseries adaptation of John Green's novel "Looking for Alaska."
-
D.
Rebecca Wisocky
Rebecca Wisocky is an American actress best known for her television work, including her prominent role on the series "Devious Maids."
-
E.
Kayla Alpert
Kayla Alpert is a television writer and producer known for her work on series such as the Netflix show "Wednesday."
- 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: Jessica Rose Weiss Triple: [Don't Make Me Go, musicBy, Jessica Rose Weiss]
Generated description
Jessica Rose Weiss is a film composer known for creating emotionally resonant scores for contemporary movies and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jessica Rose Weiss Target entity description: Jessica Rose Weiss is a film composer known for creating emotionally resonant scores for contemporary movies and television.
-
A.
Rachel Ann Weiss
Rachel Ann Weiss is the daughter of acclaimed American actress Kathleen Turner and is known for her work as a singer-songwriter.
-
B.
Jessica Rose Wyman
Jessica Rose Wyman is the daughter of Bill Wyman, the former bassist of the Rolling Stones.
-
C.
Jessica Tuchinsky
Jessica Tuchinsky is a television and film producer known for her executive production work on the miniseries adaptation of John Green's novel "Looking for Alaska."
-
D.
Rebecca Wisocky
Rebecca Wisocky is an American actress best known for her television work, including her prominent role on the series "Devious Maids."
-
E.
Kayla Alpert
Kayla Alpert is a television writer and producer known for her work on series such as the Netflix show "Wednesday."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761fdb8481908a4b9975c96aade9 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876b11c248190aefac57c32293ff0 |
completed | May 16, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08772501e08190b6c104b3270cf2da |
completed | May 16, 2026, 1:54 p.m. |
Created at: April 16, 2026, 11:28 a.m.