Triple

T14421585
Position Surface form Disambiguated ID Type / Status
Subject Brian Acton E357596 entity
Predicate isAssociatedWith P2830 FINISHED
Object Signal Foundation E521658 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: Signal Foundation | Statement: [Brian Acton, isAssociatedWith, Signal Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Signal Foundation
Context triple: [Brian Acton, isAssociatedWith, Signal Foundation]
  • A. Signal
    Signal is a toothpaste and oral care brand known for its focus on dental hygiene products in various international markets.
  • B. Signal
    Signal is a Canadian publishing imprint known for releasing thought-provoking non-fiction works on contemporary issues.
  • C. Signal chosen
    Signal is a privacy-focused messaging app known for its strong end-to-end encryption and open-source protocol.
  • D. Signal Peak
    Signal Peak is a prominent mountain summit in southwestern Arizona, known as the tallest point within the rugged Kofa Mountains.
  • E. Signal Peak
    Signal Peak is the summit that forms the highest elevation in Southern California’s San Joaquin Hills.
  • 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_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648784048190a9c7e95bfeec8b23 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.