Triple

T17220817
Position Surface form Disambiguated ID Type / Status
Subject John Key E417974 entity
Predicate familyName P18 FINISHED
Object Key E15251 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: Key | Statement: [John Key, familyName, Key]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Key
Context triple: [John Key, familyName, Key]
  • A. Key chosen
    Key is a common English surname borne by various notable individuals, including American lawyer and national anthem lyricist Francis Scott Key.
  • B. KEY
    KEY is the stock ticker symbol for KeyCorp, a major U.S.-based regional bank and financial services company.
  • C. Keys
    "Keys" is a double album by American singer-songwriter Alicia Keys that blends stripped-down piano-driven tracks with more fully produced versions, showcasing her versatility and evolution as an artist.
  • D. Keys
    Keys is a central supporting character in the film "Free Guy," a game developer and close friend of Millie who helps the self-aware NPC Guy challenge the corrupt company controlling their virtual world.
  • E. Ke
    Ke is the given name of Ke Huy Quan, the Vietnamese-American actor and former child star known for roles in films like "Indiana Jones and the Temple of Doom," "The Goonies," and "Everything Everywhere All at Once."
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddd52d4819098b51d55e063c8ab completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a016757985881909b5711eb1f206cd7 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.