Triple

T17158188
Position Surface form Disambiguated ID Type / Status
Subject Mike Watt E416399 entity
Predicate associatedAct P37 FINISHED
Object Banyan E1255014 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: Banyan | Statement: [Mike Watt, associatedAct, Banyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banyan
Context triple: [Mike Watt, associatedAct, Banyan]
  • A. Banyan chosen
    Banyan is an experimental rock band known for its improvisational style and collaborations with prominent alternative and punk musicians.
  • B. Banyon
    Banyon is an American television detective series from the early 1970s centered on a hard-boiled private investigator in 1930s Los Angeles.
  • C. Nagi tree
    The Nagi tree is a revered sacred tree species in Japan, often associated with Shinto shrines and believed to offer protection and good fortune.
  • D. Figtree
    Figtree is a residential suburb of Wollongong in New South Wales, Australia, known for its shopping centre and proximity to both the Illawarra escarpment and the city centre.
  • E. Banyan VINES
    Banyan VINES is a legacy computer networking operating system and protocol suite, popular in the late 1980s and early 1990s for enterprise-wide LAN services and directory-based networking.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40d7ef08190a587c7c56f5c8569 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc46c308190b09efb13776747e7 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.