Triple

T14783882
Position Surface form Disambiguated ID Type / Status
Subject Larry Gross E347460 entity
Predicate familyName P18 FINISHED
Object Gross E586483 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: Gross | Statement: [Larry Gross, familyName, Gross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gross
Context triple: [Larry Gross, familyName, Gross]
  • A. Gross chosen
    Gross is a common German and Ashkenazi Jewish surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • B. Grim
    Grim is the personified Grim Reaper who, after losing a bet to two children, is forced to be their reluctant friend and companion in the animated series "The Grim Adventures of Billy & Mandy."
  • C. Greasy
    Greasy is a cartoon weasel character from the film "Who Framed Roger Rabbit," known for his slick appearance and membership in the Toon Patrol.
  • D. Nasty
    "Nasty" is a 1986 hit single by Janet Jackson, known for its assertive lyrics, pioneering new jack swing sound, and iconic "nasty boys" refrain.
  • E. Nasty
    "Nasty" is a pop single by English singer Pixie Lott, known for its upbeat, retro-inspired sound and playful attitude.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0d02e28081909a11d6e6fdb8d28c completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:31 a.m.