Triple

T3236921
Position Surface form Disambiguated ID Type / Status
Subject Crumb E67876 entity
Predicate title P38 FINISHED
Object Crumb E67876 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: Crumb | Statement: [Crumb, title, Crumb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crumb
Context triple: [Crumb, title, Crumb]
  • A. Crumb chosen
    Crumb is a 1994 documentary film about underground cartoonist Robert Crumb, directed by Terry Zwigoff.
  • B. Crumbs
    "Crumbs" is a pop single by American singer Rebecca Black, showcasing her evolution from viral teen sensation to more mature, independent artist.
  • C. Baghead
    Baghead is a 2008 indie horror-comedy film about struggling filmmakers who retreat to a cabin in the woods to write a screenplay, only to encounter a mysterious figure with a bag over their head.
  • D. Cappadonna
    Cappadonna is an American rapper best known as a longtime affiliate and later official member of the Wu-Tang Clan.
  • E. Crimpshrine
    Crimpshrine was an influential late-1980s East Bay punk band known for its melodic yet raw sound and for helping shape the Berkeley punk scene that later produced groups like Pinhead Gunpowder and Green Day.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b277459d1081909766934ce6a56091 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.