Triple

T9795836
Position Surface form Disambiguated ID Type / Status
Subject Have Gun – Will Travel E237714 entity
Predicate protagonist P268 FINISHED
Object Paladin E239836 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: Paladin | Statement: [Have Gun – Will Travel, protagonist, Paladin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paladin
Context triple: [Have Gun – Will Travel, protagonist, Paladin]
  • A. Paladin
    The Paladin is a chivalrous knight figure often used as a school mascot to symbolize courage, honor, and protection.
  • B. Paladin chosen
    Paladin is the sophisticated, gun-for-hire protagonist of the Western television series "Have Gun – Will Travel," known for his black attire, calling card, and strict personal code of honor.
  • C. Paladin
    Paladin is a playable class in Hearthstone themed around holy warriors who use healing, protective magic, and summoned minions to control the battlefield.
  • D. Paladin’s Strength
    Paladin’s Strength is a fantasy romance novel by T. Kingfisher that blends adventure, humor, and heartfelt character development in a world of saints, magic, and monster hunters.
  • E. Crusader
    The Crusader is the knight-themed athletic mascot representing the University of Dallas and its sports teams.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda34a53548190a8cb524381fe2bf9 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc5118a481908a65d730f86c7723 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:28 p.m.