Triple

T12913657
Position Surface form Disambiguated ID Type / Status
Subject Finn’s grass sword E308922 entity
Predicate user P7132 FINISHED
Object Finn the Human E309301 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: Finn the Human | Statement: [Finn’s grass sword, user, Finn the Human]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Finn the Human
Context triple: [Finn’s grass sword, user, Finn the Human]
  • A. Finn the Human chosen
    Finn the Human is the brave, adventurous boy hero and primary protagonist of the animated television series Adventure Time.
  • B. Finn
    Finn is a skilled member of Tobey Marshall's street-racing crew in the film "Need for Speed," known for his technical expertise and loyal support.
  • C. Finn
    Finn is a central character in the Star Wars sequel trilogy, a former stormtrooper who defects from the First Order and joins the Resistance.
  • D. Finn
    Finn is a masculine given name of Old Norse and Irish origin, commonly used in Scandinavian and English-speaking countries.
  • E. Snotlout Jorgenson
    Snotlout Jorgenson is a brash, competitive young Viking dragon rider from the How to Train Your Dragon franchise, known for his ego, impulsiveness, and loyalty to his friends.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f74cb388190836484a1dd7d1d67 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 5:41 p.m.