Triple
T16331362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crashing Towers |
E396559
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Ray Turner
Ray Turner is an actor known for his role in the film "Crashing Towers."
|
E1207840
|
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 Turner | Statement: [Crashing Towers, featuresActor, Ray Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Turner Context triple: [Crashing Towers, featuresActor, Ray Turner]
-
A.
Eric Turner
Eric Turner is an American singer-songwriter best known for his powerful vocals and collaborations with artists in the pop and electronic music scenes.
-
B.
Stephen Turner
Stephen Turner is a scientist and entrepreneur best known as the founder of Pacific Biosciences, a company pioneering advanced DNA sequencing technologies.
-
C.
Mark Turner
Mark Turner is an acclaimed American jazz saxophonist known for his intricate improvisations and influential work in contemporary jazz ensembles.
-
D.
Ronnie Turner
Ronnie Turner was an American musician and actor best known as the son of legendary performers Tina Turner and Ike Turner.
-
E.
Jim Turner
Jim Turner is an American actor and comedian best known for his role on the HBO sports-agent comedy series "Arliss."
- 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 Turner Triple: [Crashing Towers, featuresActor, Ray Turner]
Generated description
Ray Turner 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 Turner Target entity description: Ray Turner is an actor known for his role in the film "Crashing Towers."
-
A.
Eric Turner
Eric Turner is an American singer-songwriter best known for his powerful vocals and collaborations with artists in the pop and electronic music scenes.
-
B.
Stephen Turner
Stephen Turner is a scientist and entrepreneur best known as the founder of Pacific Biosciences, a company pioneering advanced DNA sequencing technologies.
-
C.
Mark Turner
Mark Turner is an acclaimed American jazz saxophonist known for his intricate improvisations and influential work in contemporary jazz ensembles.
-
D.
Ronnie Turner
Ronnie Turner was an American musician and actor best known as the son of legendary performers Tina Turner and Ike Turner.
-
E.
Jim Turner
Jim Turner is an American actor and comedian best known for his role on the HBO sports-agent comedy series "Arliss."
- 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_6a002613c0e88190b91da8eba683c864 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0027854ce48190ad3fb09ecd7e2b9e |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0029f138d88190bf240ca524d9ad0a |
completed | May 10, 2026, 6:47 a.m. |
Created at: April 10, 2026, 5:07 a.m.