Triple

T13617094
Position Surface form Disambiguated ID Type / Status
Subject Ray Nicholson E325342 entity
Predicate notableWork P4 FINISHED
Object Out of the Blue
Out of the Blue is a film featuring actor Ray Nicholson in a prominent role.
 E1051697 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: Out of the Blue | Statement: [Ray Nicholson, notableWork, Out of the Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Out of the Blue
Context triple: [Ray Nicholson, notableWork, Out of the Blue]
  • A. Out of the Blue
    Out of the Blue is a short-lived late-1970s American sitcom featuring a guardian angel on Earth, best known today for its loose connection to the hit series Happy Days.
  • B. Out of the Blue
    "Out of the Blue" is a memoir by former Major League Baseball pitcher Orel Hershiser that recounts his life, career, and remarkable 1988 season with the Los Angeles Dodgers.
  • C. Something Out of the Blue
    "Something Out of the Blue" is a song by Stevie Wonder featured on his 1991 album "Jungle Fever."
  • D. Dazzling Blue
    "Dazzling Blue" is a reflective, folk-infused song by Paul Simon that blends intricate acoustic guitar work with poetic lyrics on love and spirituality.
  • E. Black and Blue
    Black and Blue is a crime novel by Scottish author Ian Rankin featuring detective Inspector Rebus as he investigates a series of complex and gritty cases in Edinburgh.
  • 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: Out of the Blue
Triple: [Ray Nicholson, notableWork, Out of the Blue]
Generated description
Out of the Blue is a film featuring actor Ray Nicholson in a prominent role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Out of the Blue
Target entity description: Out of the Blue is a film featuring actor Ray Nicholson in a prominent role.
  • A. Out of the Blue
    Out of the Blue is a short-lived late-1970s American sitcom featuring a guardian angel on Earth, best known today for its loose connection to the hit series Happy Days.
  • B. Out of the Blue
    "Out of the Blue" is a memoir by former Major League Baseball pitcher Orel Hershiser that recounts his life, career, and remarkable 1988 season with the Los Angeles Dodgers.
  • C. Something Out of the Blue
    "Something Out of the Blue" is a song by Stevie Wonder featured on his 1991 album "Jungle Fever."
  • D. Dazzling Blue
    "Dazzling Blue" is a reflective, folk-infused song by Paul Simon that blends intricate acoustic guitar work with poetic lyrics on love and spirituality.
  • E. Black and Blue
    Black and Blue is a crime novel by Scottish author Ian Rankin featuring detective Inspector Rebus as he investigates a series of complex and gritty cases in Edinburgh.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0ae77e0819081e3b14642460dc6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa0b81c819094e2fa209ef9857c completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f783c24d088190ad53fa2d33a255c9 completed May 3, 2026, 5:20 p.m.
NED2 Entity disambiguation (via description) batch_69f78452e8bc8190a55f2be349fe718f completed May 3, 2026, 5:22 p.m.
Created at: April 9, 2026, 9:50 p.m.