Triple

T13114768
Position Surface form Disambiguated ID Type / Status
Subject Simon Farnaby E311063 entity
Predicate employer P7 FINISHED
Object Sky E245043 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: Sky | Statement: [Simon Farnaby, employer, Sky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sky
Context triple: [Simon Farnaby, employer, Sky]
  • A. Sky
    Sky is a charming and supportive young man from the musical and film "Mamma Mia!", known for his relationship with Sophie Sheridan and their plans to build a life together.
  • B. Sky
    "Sky" is a popular track by American rapper Playboi Carti, known for its hypnotic production and viral presence within the cloud rap and trap scenes.
  • C. Sky
    Sky is a given name that can be used for people of any gender, often evoking openness, freedom, and nature.
  • D. Sky
    Sky is a character associated with the "Woman of Steel" universe, likely serving as a key supporting figure or aspect of the heroine’s world.
  • E. Sky chosen
    Sky is a major British media and telecommunications company best known for its satellite television services and original programming.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98180b6ac8190ae5a1f7c1480bd54 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28105c481908781775ba489c296 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.