Triple
T1790763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elysium |
E39488
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Ryan Amon
Ryan Amon is a film composer best known for his powerful, futuristic score for the science fiction movie "Elysium."
|
E230355
|
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: Ryan Amon | Statement: [Elysium, musicBy, Ryan Amon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Amon Context triple: [Elysium, musicBy, Ryan Amon]
-
A.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
B.
Nate Rogers
Nate Rogers is a notable individual who shares the Rogers surname and has achieved enough recognition to be specifically identified among its bearers.
-
C.
Ryan Arcidiacono
Ryan Arcidiacono is an American professional basketball player best known for his standout collegiate career as a clutch, championship-winning point guard at Villanova University.
-
D.
Cory Hardrict
Cory Hardrict is an American actor known for his work in film and television, including roles in projects like "American Sniper," "Brotherly Love," and various TV dramas.
-
E.
Drew Hansen
Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
- 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: Ryan Amon Triple: [Elysium, musicBy, Ryan Amon]
Generated description
Ryan Amon is a film composer best known for his powerful, futuristic score for the science fiction movie "Elysium."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Amon Target entity description: Ryan Amon is a film composer best known for his powerful, futuristic score for the science fiction movie "Elysium."
-
A.
Kyle Rote
Kyle Rote was a former New York Giants star running back and wide receiver who became a prominent American sportscaster and television commentator.
-
B.
Nate Rogers
Nate Rogers is a notable individual who shares the Rogers surname and has achieved enough recognition to be specifically identified among its bearers.
-
C.
Ryan Arcidiacono
Ryan Arcidiacono is an American professional basketball player best known for his standout collegiate career as a clutch, championship-winning point guard at Villanova University.
-
D.
Cory Hardrict
Cory Hardrict is an American actor known for his work in film and television, including roles in projects like "American Sniper," "Brotherly Love," and various TV dramas.
-
E.
Drew Hansen
Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6512804c8190a5743c10bd37f83f |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae26f2c7a48190a091e0e334845413 |
completed | March 9, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_69ae277895488190ae4a2337cf2ae915 |
completed | March 9, 2026, 1:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae27e7113081909835657bfff3f9e8 |
completed | March 9, 2026, 1:52 a.m. |
Created at: March 4, 2026, 7:32 p.m.