Triple

T14172990
Position Surface form Disambiguated ID Type / Status
Subject Friday the 13th: The Final Chapter E351257 entity
Predicate featuresCharacter P626 FINISHED
Object Tommy Jarvis E1083507 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: Tommy Jarvis | Statement: [Friday the 13th: The Final Chapter, featuresCharacter, Tommy Jarvis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tommy Jarvis
Context triple: [Friday the 13th: The Final Chapter, featuresCharacter, Tommy Jarvis]
  • A. Tommy Jarvis chosen
    Tommy Jarvis is a recurring protagonist in the Friday the 13th horror franchise, best known as the resourceful young boy who confronts and ultimately kills Jason Voorhees.
  • B. Tommy Elm
    Tommy Elm is a musician best known for being a member of Prince’s backing band, The New Power Generation.
  • C. Tommy Gormley
    Tommy Gormley is a Scottish film assistant director and producer known for his work on major Hollywood productions such as "Star Trek" and "Star Wars: The Force Awakens."
  • D. Tommy
    Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
  • E. Tommy
    Tommy is a colloquial nickname for Thomson's gazelle, a small, fast antelope native to the grasslands of East Africa.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193f85e88190b37a37747ec9d019 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:01 a.m.