Triple
T6530262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Call (2013 film) |
E152212
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Alyson C. Johnson
Alyson C. Johnson is a film editor best known for her work on the 2013 thriller "The Call."
|
E610898
|
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: Alyson C. Johnson | Statement: [The Call (2013 film), editedBy, Alyson C. Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alyson C. Johnson Context triple: [The Call (2013 film), editedBy, Alyson C. Johnson]
-
A.
Nicole P. Stott
Nicole P. Stott is an American engineer, retired NASA astronaut, and aquanaut known for her long-duration stay on the International Space Station and her work combining space exploration with art and education.
-
B.
Kimberly S. Budd
Kimberly S. Budd is an American jurist who serves as the Chief Justice of the Massachusetts Supreme Judicial Court.
-
C.
Kimberly J. Mueller
Kimberly J. Mueller is a United States federal judge who serves as the Chief Judge of the U.S. District Court for the Eastern District of California.
-
D.
Amy E. Duddleston
Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
-
E.
Nirine S. Brown
Nirine S. Brown is an actress known for her role in the psychological horror-thriller television series "Swarm."
- 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: Alyson C. Johnson Triple: [The Call (2013 film), editedBy, Alyson C. Johnson]
Generated description
Alyson C. Johnson is a film editor best known for her work on the 2013 thriller "The Call."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alyson C. Johnson Target entity description: Alyson C. Johnson is a film editor best known for her work on the 2013 thriller "The Call."
-
A.
Nicole P. Stott
Nicole P. Stott is an American engineer, retired NASA astronaut, and aquanaut known for her long-duration stay on the International Space Station and her work combining space exploration with art and education.
-
B.
Kimberly S. Budd
Kimberly S. Budd is an American jurist who serves as the Chief Justice of the Massachusetts Supreme Judicial Court.
-
C.
Kimberly J. Mueller
Kimberly J. Mueller is a United States federal judge who serves as the Chief Judge of the U.S. District Court for the Eastern District of California.
-
D.
Amy E. Duddleston
Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
-
E.
Nirine S. Brown
Nirine S. Brown is an actress known for her role in the psychological horror-thriller television series "Swarm."
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adac53b0819097fece48a75cc48f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f782dfb481909e65bb9444ddcda1 |
completed | March 27, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69c6f8946b2c8190b18edff8523cf565 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f96c215081909e9d7a6e0a811f18 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 27, 2026, 1:46 p.m.