Triple

T3244420
Position Surface form Disambiguated ID Type / Status
Subject Sergey Brin E68037 entity
Predicate employer P7 FINISHED
Object Google E1096 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: Google | Statement: [Sergey Brin, employer, Google]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google
Context triple: [Sergey Brin, employer, Google]
  • A. Google chosen
    Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
  • B. Goole
    Goole is an inland port town in the East Riding of Yorkshire, England, known for its significant docks and role in regional maritime trade.
  • C. OGLE
    OGLE (Optical Gravitational Lensing Experiment) is a long-term astronomical survey focused on detecting dark matter, exoplanets, and variable stars through gravitational microlensing and photometric monitoring.
  • D. Google X
    Google X is a semi-secret research and development lab of Google (now Alphabet) focused on creating breakthrough technologies such as autonomous vehicles and other ambitious "moonshot" projects.
  • E. Alphabet Inc.
    Alphabet Inc. is a multinational technology conglomerate that serves as the holding company for Google and various other businesses in areas such as artificial intelligence, life sciences, and autonomous vehicles.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1982448190b3d60c9e4471421f completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2775be7c88190ba60b191f1c51e19 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.