Triple

T3988702
Position Surface form Disambiguated ID Type / Status
Subject Highlander E86934 entity
Predicate partOfFranchise P1925 FINISHED
Object Highlander franchise E86934 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: Highlander franchise | Statement: [Highlander, partOfFranchise, Highlander franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highlander franchise
Context triple: [Highlander, partOfFranchise, Highlander franchise]
  • A. Highlander chosen
    Highlander is a 1986 fantasy-action film about immortal warriors battling through the centuries, which became a cult classic and launched a multimedia franchise.
  • B. Highlanders
    The Highlanders are a professional rugby union team based in New Zealand’s South Island that competes in the Super Rugby competition.
  • C. Highlanders
    Highlanders is the nickname for the athletic teams representing the University of California, Riverside in NCAA competition.
  • D. Blade film series
    The Blade film series is a set of action-horror movies centered on the Marvel Comics vampire hunter Blade, known for pioneering the modern wave of successful comic book adaptations in Hollywood.
  • E. Elizabeth film series
    The Elizabeth film series is a pair of historical drama films starring Cate Blanchett as Queen Elizabeth I, charting her rise to power and later reign in 16th-century England.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa007344819099515fda367f7016 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5402f72e8819097ce951aac465dc8 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.