Triple

T2845413
Position Surface form Disambiguated ID Type / Status
Subject Linos E62571 entity
Predicate alternativeFormOf P4680 FINISHED
Object Linus E9851 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: Linus | Statement: [Linos, alternativeFormOf, Linus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linus
Context triple: [Linos, alternativeFormOf, Linus]
  • A. Linus chosen
    Linus is a given name most famously associated with Linus Pauling, the American chemist and two-time Nobel Prize laureate.
  • B. Linus Caldwell
    Linus Caldwell is a skilled but somewhat inexperienced and eager-to-prove-himself con artist and pickpocket who becomes a key member of Danny Ocean’s heist crew in the Ocean’s film series.
  • C. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • D. Lloyd
    Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
  • E. Lloyd
    Lloyd is a masculine given name of Welsh origin meaning "grey" or "grey-haired."
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf1b58c88190b45d8c5a76dc52ac completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d850b481909850ff5e89021824 completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.