Triple

T13067847
Position Surface form Disambiguated ID Type / Status
Subject Douglas Henshall E329373 entity
Predicate appearedIn P795 FINISHED
Object Outlander E156049 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: Outlander | Statement: [Douglas Henshall, appearedIn, Outlander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Outlander
Context triple: [Douglas Henshall, appearedIn, Outlander]
  • A. Outlander chosen
    Outlander is a historical time-travel drama television series based on Diana Gabaldon's novels, following a World War II nurse who is transported to 18th-century Scotland.
  • B. Outlandish
    Outlandish is a Danish hip hop group known for blending rap with multicultural musical influences and socially conscious lyrics.
  • C. King of the clans
    King of the clans is the title held by King Fergus, the boisterous and brave Highland ruler in Disney-Pixar’s animated film "Brave."
  • D. Castle Grant
    Castle Grant is a historic Scottish Highland castle near Grantown-on-Spey that has long served as the ancestral stronghold of Clan Grant.
  • E. Fortunes of War
    Fortunes of War is a British television drama series, adapted from Olivia Manning’s Balkan and Levant trilogies, that follows an English couple’s experiences across Europe and the Middle East during World War II.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ec8ba48190baf52c7823482680 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d603419c8190b8d1726365db59dc completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9 p.m.