Triple

T15973506
Position Surface form Disambiguated ID Type / Status
Subject Glu Mobile E387380 entity
Predicate tickerSymbol P1447 FINISHED
Object GLUU E699785 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: GLUU | Statement: [Glu Mobile, tickerSymbol, GLUU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GLUU
Context triple: [Glu Mobile, tickerSymbol, GLUU]
  • A. Okta
    Okta is a cloud-based identity and access management platform that provides secure single sign-on, authentication, and user management for applications and services.
  • B. Anthos
    Anthos is Google Cloud’s hybrid and multi-cloud application platform that enables consistent deployment and management of containerized applications across on-premises and multiple cloud environments.
  • C. Knox Platform for Enterprise
    Knox Platform for Enterprise is Samsung’s advanced mobile security and management solution designed to protect and control enterprise devices, apps, and data.
  • D. FreeIPA chosen
    FreeIPA is an open-source integrated identity and authentication solution for Linux and Unix networks, combining LDAP, Kerberos, DNS, and certificate management in a centralized platform.
  • E. Linkerd
    Linkerd is an open-source, lightweight service mesh for Kubernetes that provides observability, reliability, and security for cloud-native applications.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572b667c8190b28d0556e45422bb completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe8afa288190838cb35b8a4fcf50 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.