Triple

T14412079
Position Surface form Disambiguated ID Type / Status
Subject Abracadabra E357353 entity
Predicate productionCompany P490 FINISHED
Object Noodles Production E1098186 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: Noodles Production | Statement: [Abracadabra, productionCompany, Noodles Production]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noodles Production
Context triple: [Abracadabra, productionCompany, Noodles Production]
  • A. Noodles Production chosen
    Noodles Production is a film production company known for its involvement in European and international cinema projects.
  • B. The Noodle Maker
    The Noodle Maker is a satirical novel by Chinese writer Ma Jian that critiques contemporary Chinese society through darkly comic, interwoven stories.
  • C. Noodles
    Noodles is the stage name and alias of Masta Killa, a member of the influential hip-hop group Wu-Tang Clan.
  • D. Noodles
    Noodles is the lead guitarist of the American punk rock band The Offspring, known for his energetic playing style and long tenure with the group.
  • E. NOODLES BAZAAR – World Noodles Road
    NOODLES BAZAAR – World Noodles Road is an interactive food-themed attraction where visitors can sample and learn about a variety of noodle dishes from around the 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc79c088190b6fd2984515976d7 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.