Triple
T16106063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Farewell |
E390740
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Alex Weston
Alex Weston is a contemporary film composer best known for his evocative score for the acclaimed drama "The Farewell."
|
E1195155
|
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: Alex Weston | Statement: [The Farewell, musicBy, Alex Weston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Weston Context triple: [The Farewell, musicBy, Alex Weston]
-
A.
Rod Weston
Rod Weston is a British property developer best known as the third husband of model and photographer Pattie Boyd.
-
B.
Alex Ferris
Alex Ferris is a Canadian actor known for his roles as a child performer in films and television series during the 2000s.
-
C.
Carol Weston
Carol Weston is the central character of the sitcom "Empty Nest," portrayed as a neurotic yet caring adult daughter who frequently visits and complicates the life of her widowed pediatrician father.
-
D.
Kim Aldrich
Kim Aldrich is a central astronaut character in the science fiction horror film "The Last Days on Mars," involved in a doomed mission on the Red Planet.
-
E.
Jason Weston
Jason Weston is a machine learning researcher known for his contributions to areas such as large-scale learning, natural language processing, and neural networks.
- 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: Alex Weston Triple: [The Farewell, musicBy, Alex Weston]
Generated description
Alex Weston is a contemporary film composer best known for his evocative score for the acclaimed drama "The Farewell."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Weston Target entity description: Alex Weston is a contemporary film composer best known for his evocative score for the acclaimed drama "The Farewell."
-
A.
Rod Weston
Rod Weston is a British property developer best known as the third husband of model and photographer Pattie Boyd.
-
B.
Alex Ferris
Alex Ferris is a Canadian actor known for his roles as a child performer in films and television series during the 2000s.
-
C.
Carol Weston
Carol Weston is the central character of the sitcom "Empty Nest," portrayed as a neurotic yet caring adult daughter who frequently visits and complicates the life of her widowed pediatrician father.
-
D.
Kim Aldrich
Kim Aldrich is a central astronaut character in the science fiction horror film "The Last Days on Mars," involved in a doomed mission on the Red Planet.
-
E.
Jason Weston
Jason Weston is a machine learning researcher known for his contributions to areas such as large-scale learning, natural language processing, and neural networks.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeba1e4c08190a90f5102e0038056 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffed3d57388190a4d0faa58ee2a27b |
completed | May 10, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffedfb88a881909e6adbb3a372246b |
completed | May 10, 2026, 2:31 a.m. |
Created at: April 10, 2026, 5 a.m.