Triple

T5112791
Position Surface form Disambiguated ID Type / Status
Subject Life Story E115255 entity
Predicate relatedTo P37 FINISHED
Object The Hunt (TV series) E115643 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: The Hunt (TV series) | Statement: [Life Story, relatedTo, The Hunt (TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hunt (TV series)
Context triple: [Life Story, relatedTo, The Hunt (TV series)]
  • A. The Hunt chosen
    The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
  • B. Hunt
    Hunt is a common English surname borne by numerous notable figures across fields such as architecture, politics, sports, and the arts.
  • C. The Hunted
    The Hunted is a 2003 action thriller film about a retired special-operations instructor tracking a former student turned rogue assassin in the Pacific Northwest wilderness.
  • D. Quantico
    Quantico is a small town in Prince William County, Virginia, best known for hosting the Marine Corps Base Quantico and several major U.S. federal law enforcement training facilities.
  • E. Bloodline
    Bloodline is a Star Wars novel by Claudia Gray that explores Leia Organa’s political struggles and the rise of the First Order in the years leading up to The Force Awakens.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cba1e88190af076657f846b975 completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaaa394c8190bd93cdf57475a5b6 completed March 21, 2026, 3:35 p.m.
Created at: March 20, 2026, 1:41 p.m.