Triple

T1634227
Position Surface form Disambiguated ID Type / Status
Subject Other Bets E35326 entity
Predicate includes P1393 FINISHED
Object Verily
Verily is a life sciences and healthcare technology company under Alphabet Inc. that focuses on using data and advanced tools to improve health outcomes.
 E184233 NE FINISHED

How this triple was built (4 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: Verily | Statement: [Other Bets, includes, Verily]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Verily
Context triple: [Other Bets, includes, Verily]
  • A. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • B. Siris
    Siris is a philosophical work by George Berkeley that explores metaphysics, theology, and the medicinal virtues of tar-water through a chain of reflective questions and arguments.
  • C. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • D. Meraki
    Meraki is a cloud-managed IT company known for its wireless, switching, security, and device management solutions, acquired by and operating as a subsidiary of Cisco.
  • E. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Verily
Triple: [Other Bets, includes, Verily]
Generated description
Verily is a life sciences and healthcare technology company under Alphabet Inc. that focuses on using data and advanced tools to improve health outcomes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Verily
Target entity description: Verily is a life sciences and healthcare technology company under Alphabet Inc. that focuses on using data and advanced tools to improve health outcomes.
  • A. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • B. Siris
    Siris is a philosophical work by George Berkeley that explores metaphysics, theology, and the medicinal virtues of tar-water through a chain of reflective questions and arguments.
  • C. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • D. Meraki
    Meraki is a cloud-managed IT company known for its wireless, switching, security, and device management solutions, acquired by and operating as a subsidiary of Cisco.
  • E. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • F. None of above. chosen

Provenance (5 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a1679408190a9faa7b22c388c4b completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d9db5c819081408977834ad606 completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a625d088190bbacbb69a0569d49 completed March 8, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69ad5ae605f88190b5e42d7cf923e9bb completed March 8, 2026, 11:17 a.m.
Created at: March 4, 2026, 7:28 p.m.