Triple

T535592
Position Surface form Disambiguated ID Type / Status
Subject Larry Page E12319 entity
Predicate knownFor P22 FINISHED
Object Alphabet Inc. E5652 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: Alphabet Inc. | Statement: [Larry Page, knownFor, Alphabet Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alphabet Inc.
Context triple: [Larry Page, knownFor, Alphabet Inc.]
  • A. Alphabet Inc. chosen
    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.
  • B. Google
    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.
  • C. Snap Inc.
    Snap Inc. is an American technology and social media company best known for developing the multimedia messaging app Snapchat and related camera and augmented reality products.
  • D. Alibaba Group
    Alibaba Group is a Chinese multinational conglomerate specializing in e-commerce, retail, internet, and technology, best known for operating major online marketplaces like Taobao and Tmall.
  • E. 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.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496d904408190a2ed16c839017623 completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c66fa348819081e004fb4350f4ea completed March 1, 2026, 11:06 p.m.
Created at: March 1, 2026, 7:32 p.m.