Triple

T8346619
Position Surface form Disambiguated ID Type / Status
Subject Gregory Widen E196052 entity
Predicate notableWork P4 FINISHED
Object Highlander 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 | Statement: [Gregory Widen, notableWork, Highlander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highlander
Context triple: [Gregory Widen, notableWork, Highlander]
  • 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. Highlander II: The Quickening
    Highlander II: The Quickening is a 1991 science fiction–fantasy film and controversial sequel to the original Highlander, widely criticized for its convoluted plot and drastic changes to the series’ mythology.
  • E. Dragonheart
    Dragonheart is a 1996 fantasy adventure film renowned for its groundbreaking CGI dragon and the voice performance of Sean Connery.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8013d81c81908da48466cffb3939 completed March 31, 2026, 8:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc745f33c8190a043aff437874391 completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:58 p.m.