Triple

T18358834
Position Surface form Disambiguated ID Type / Status
Subject Turn to Stone E439863 entity
Predicate partOf P40 FINISHED
Object Out of the Blue E1282257 NE FINISHED

How this triple was built (2 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: [Turn to Stone, partOf, Out of the Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Out of the Blue
Context triple: [Turn to Stone, partOf, 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. Out of the Blue
    Out of the Blue is a film featuring actor Ray Nicholson in a prominent role.
  • D. Out of the Blue
    Out of the Blue is a landmark late-1990s trance track by Ferry Corsten (under his System F alias) that became one of the genre’s most iconic and influential anthems.
  • E. Out of the Blue chosen
    Out of the Blue is an Australian television drama series best known for featuring actress Jackie Woodburne in a prominent role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d9dba8819088c5d772e3ee670d completed April 19, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e23675208190b742228a238349fc completed May 13, 2026, 2:30 a.m.
Created at: April 10, 2026, 10:37 a.m.