Triple
T6332663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Easy A |
E142418
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Brad Segal
Brad Segal is a composer and musician best known for creating film scores, including the soundtrack for the teen comedy "Easy A."
|
E585819
|
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: Brad Segal | Statement: [Easy A, musicBy, Brad Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Segal Context triple: [Easy A, musicBy, Brad Segal]
-
A.
Brian Rogers
Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
-
B.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
-
C.
Todd Lieberman
Todd Lieberman is an American film producer known for his work on acclaimed movies such as "The Fighter" and other major Hollywood productions.
-
D.
Greg Shapiro
Greg Shapiro is an American film producer best known for his Academy Award-winning work on "The Hurt Locker" and other notable independent and studio films.
-
E.
Ron Pardo
Ron Pardo is a Canadian actor and voice actor best known for his multiple character roles in the animated children's franchise PAW Patrol, including its feature film adaptation.
- 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: Brad Segal Triple: [Easy A, musicBy, Brad Segal]
Generated description
Brad Segal is a composer and musician best known for creating film scores, including the soundtrack for the teen comedy "Easy A."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brad Segal Target entity description: Brad Segal is a composer and musician best known for creating film scores, including the soundtrack for the teen comedy "Easy A."
-
A.
Brian Rogers
Brian Rogers is a film producer best known for his work on the 2014 reboot of the Godzilla franchise.
-
B.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
-
C.
Todd Lieberman
Todd Lieberman is an American film producer known for his work on acclaimed movies such as "The Fighter" and other major Hollywood productions.
-
D.
Greg Shapiro
Greg Shapiro is an American film producer best known for his Academy Award-winning work on "The Hurt Locker" and other notable independent and studio films.
-
E.
Ron Pardo
Ron Pardo is a Canadian actor and voice actor best known for his multiple character roles in the animated children's franchise PAW Patrol, including its feature film adaptation.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651634b08190b54860ba0a70f5c4 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6041f713c8190b27ba54181049377 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c604d3839081909f98c37f0fe8f0af |
completed | March 27, 2026, 4:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6054d2e388190a4bafffce879b039 |
completed | March 27, 2026, 4:19 a.m. |
Created at: March 22, 2026, 4:30 p.m.