Triple
T16331319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crashing Towers |
E396559
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Ray Miller
Ray Miller is an actor known for his role in the film "Crashing Towers."
|
E1218613
|
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: Ray Miller | Statement: [Crashing Towers, featuresActor, Ray Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Miller Context triple: [Crashing Towers, featuresActor, Ray Miller]
-
A.
Randy Miller
Randy Miller is a film composer best known for scoring movies such as the long-distance running drama "Without Limits."
-
B.
Ron Miller
Ron Miller is an American artist and illustrator renowned for his work in science fiction and astronomical art.
-
C.
Ron Miller
Ron Miller was an American film and television producer and former president and CEO of The Walt Disney Company, known for overseeing numerous Disney projects in the 1970s and 1980s.
-
D.
Ron Miller
Ron Miller was an American songwriter best known for penning classic Motown hits, including the standard "For Once in My Life."
-
E.
Dan Miller
Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
- 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: Ray Miller Triple: [Crashing Towers, featuresActor, Ray Miller]
Generated description
Ray Miller is an actor known for his role in the film "Crashing Towers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ray Miller Target entity description: Ray Miller is an actor known for his role in the film "Crashing Towers."
-
A.
Randy Miller
Randy Miller is a film composer best known for scoring movies such as the long-distance running drama "Without Limits."
-
B.
Ron Miller
Ron Miller is an American artist and illustrator renowned for his work in science fiction and astronomical art.
-
C.
Ron Miller
Ron Miller was an American film and television producer and former president and CEO of The Walt Disney Company, known for overseeing numerous Disney projects in the 1970s and 1980s.
-
D.
Ron Miller
Ron Miller was an American songwriter best known for penning classic Motown hits, including the standard "For Once in My Life."
-
E.
Dan Miller
Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4dfd9688190a749e48ebc055baf |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00606d1b00819082f1a6084875d9de |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a0061f313cc819099b86ec11e3c794f |
completed | May 10, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0062665d908190b8127b21edcad30e |
completed | May 10, 2026, 10:48 a.m. |
Created at: April 10, 2026, 5:07 a.m.