Triple

T7259297
Position Surface form Disambiguated ID Type / Status
Subject Knut Pedersen E159605 entity
Predicate notableWork P4 FINISHED
Object Mysteries E140434 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: Mysteries | Statement: [Knut Pedersen, notableWork, Mysteries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mysteries
Context triple: [Knut Pedersen, notableWork, Mysteries]
  • A. Mysteries chosen
    Mysteries is a psychologically intense novel by Norwegian author Knut Hamsun that explores the inner turmoil and eccentric behavior of a mysterious stranger in a small coastal town.
  • B. Murder Mysteries
    Murder Mysteries is a dark, metaphysical short story by Neil Gaiman that reimagines a celestial murder investigation in Heaven before the creation of the universe.
  • C. Logical Investigations
    Logical Investigations is a foundational philosophical work by Edmund Husserl that helped establish phenomenology and significantly influenced 20th-century continental philosophy.
  • D. Misterios
    Misterios is a Mexico City Metro station on Line 5, named after the nearby Calzada de los Misterios and serving commuters in the northern part of the city.
  • E. Heavy Mysteries
    "Heavy Mysteries" is a song featured on the comedy-rap album "Class Clown" by George Carlin.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac340a0819084015a5fbf7a5539 completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3b99af08190a28d77e7363edf45 completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:57 p.m.