Triple

T9041951
Position Surface form Disambiguated ID Type / Status
Subject Steven Van Zandt E216652 entity
Predicate appearedIn P795 FINISHED
Object Lilyhammer E216665 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: Lilyhammer | Statement: [Steven Van Zandt, appearedIn, Lilyhammer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lilyhammer
Context triple: [Steven Van Zandt, appearedIn, Lilyhammer]
  • A. Lilyhammer chosen
    Lilyhammer is a Norwegian-American crime comedy-drama TV series about a New York mobster starting a new life in the Norwegian town of Lillehammer.
  • B. Ursvik
    Ursvik is a residential district and urban area within the Stockholm region of Sweden, known for its mix of modern housing developments and proximity to green spaces.
  • C. Jorsalle
    Jorsalle is a small village in Nepal’s Khumbu region that serves as a common stopover for trekkers on the route to Everest Base Camp.
  • D. Norrice
    Norrice is a given name or surname that functions as a variant form of the name Norris.
  • E. Jomsborg
    Jomsborg is the legendary Viking stronghold and base of the Jomsvikings, often associated with the area around modern Wolin in the Baltic Sea.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b110fcc8190a09e8ac5d98e399e completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb98e6008190a73c76c50aa7ed23 completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.