Triple

T22021181
Position Surface form Disambiguated ID Type / Status
Subject The Wall E543849 entity
Predicate productionCompany P490 FINISHED
Object Picrow NE NERFINISHED

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: Picrow | Statement: [The Wall, productionCompany, Picrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picrow
Context triple: [The Wall, productionCompany, Picrow]
  • A. Picrow chosen
    Picrow is a television and film production company best known for producing acclaimed series such as "Only Murders in the Building."
  • B. Piku
    Piku is a 2015 Indian comedy-drama film centered on the relationship between a headstrong daughter and her aging, hypochondriac father, featuring a notable performance by Amitabh Bachchan.
  • C. Pipikoro
    Pipikoro is an Austronesian language spoken in Central Sulawesi, Indonesia, known locally as an alternate name for the Uma language.
  • D. Puyanawa
    The Puyanawa are an Indigenous people of western Brazil, traditionally inhabiting the forested regions of what is now Acre and known for their distinct Panoan language and cultural practices.
  • E. Toyapakeh
    Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c7b3308190ac056bef6f82722e completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.