Triple

T3760370
Position Surface form Disambiguated ID Type / Status
Subject Miracle Max E82145 entity
Predicate relationship P637 FINISHED
Object Miracle Max helps Fezzik E82145 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: Miracle Max helps Fezzik | Statement: [Miracle Max, relationship, Miracle Max helps Fezzik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miracle Max helps Fezzik
Context triple: [Miracle Max, relationship, Miracle Max helps Fezzik]
  • A. Miracle Max chosen
    Miracle Max is a comically cantankerous, miracle-working healer from the film "The Princess Bride," known for his sharp wit and eccentric personality.
  • B. Mushu
    Mushu is the small, wisecracking dragon who serves as Mulan’s comedic guardian and loyal companion in Disney’s animated film.
  • C. Donkey (Shrek)
    Donkey (Shrek) is the fast-talking, comedic, and loyal talking donkey who serves as Shrek’s sidekick in the Shrek animated film series.
  • D. Fiete
    Fiete is a German diminutive form of the given name Friedrich, commonly used as a familiar or regional nickname.
  • E. Fishke the Lame
    Fishke the Lame is a classic Yiddish novel by Mendele Mocher Sforim that portrays the hardships and social injustices faced by Jewish poor and disabled characters in the shtetl world.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc3d3f48190974cec104080949f completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5172abc81909cfa709ea866dc57 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.