Triple

T12670657
Position Surface form Disambiguated ID Type / Status
Subject John Landis E302669 entity
Predicate familyName P18 FINISHED
Object Landis E127213 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: Landis | Statement: [John Landis, familyName, Landis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landis
Context triple: [John Landis, familyName, Landis]
  • A. Landis chosen
    Landis is a surname most famously associated with Kenesaw Mountain Landis, the first Commissioner of Major League Baseball known for his role in restoring public confidence after the Black Sox Scandal.
  • B. Endura
    Endura is a poetry collection by Swedish poet Katarina Frostenson, known for its dense, allusive language and exploration of memory, loss, and the limits of expression.
  • C. Demaris
    Demaris is a character in Stephen Adly Guirgis's gritty stage play "In Arabia We'd All Be Kings," which portrays the lives of struggling New Yorkers in a rapidly gentrifying Hell's Kitchen.
  • D. Kahler Asten
    Kahler Asten is a prominent mountain in the Rothaar Mountains of Germany, known for its weather station, hiking trails, and panoramic views.
  • E. Boardman
    Boardman is a major suburban community in northeastern Ohio, known for its residential neighborhoods, commercial centers, and role as a key part of the Youngstown metropolitan region.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688e101481909bc3b9e13ed84632 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.