Triple

T11531490
Position Surface form Disambiguated ID Type / Status
Subject Gary Cohn E273431 entity
Predicate boardMemberOf P10 FINISHED
Object Abyrx
Abyrx is a medical technology company specializing in biomaterial-based surgical products designed to improve bone repair and hemostasis in operative procedures.
 E932092 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: Abyrx | Statement: [Gary Cohn, boardMemberOf, Abyrx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abyrx
Context triple: [Gary Cohn, boardMemberOf, Abyrx]
  • A. Anbay
    Anbay is an ancient South Arabian god associated with justice and oracles, venerated as a principal deity in the Qataban kingdom.
  • B. Abis
    Abis is a standardized GSM interface that connects a base transceiver station (BTS) to its base station controller (BSC) for managing radio resources and signaling.
  • C. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • D. Akhstala
    Akhstala is a village in northern Armenia known for its historic Akhtala Monastery and its location in the Debed River valley.
  • E. Ayen
    Ayen is a small commune in central France’s Corrèze department, known for its rural character and location within the Nouvelle-Aquitaine region.
  • 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: Abyrx
Triple: [Gary Cohn, boardMemberOf, Abyrx]
Generated description
Abyrx is a medical technology company specializing in biomaterial-based surgical products designed to improve bone repair and hemostasis in operative procedures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abyrx
Target entity description: Abyrx is a medical technology company specializing in biomaterial-based surgical products designed to improve bone repair and hemostasis in operative procedures.
  • A. Anbay
    Anbay is an ancient South Arabian god associated with justice and oracles, venerated as a principal deity in the Qataban kingdom.
  • B. Abis
    Abis is a standardized GSM interface that connects a base transceiver station (BTS) to its base station controller (BSC) for managing radio resources and signaling.
  • C. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • D. Akhstala
    Akhstala is a village in northern Armenia known for its historic Akhtala Monastery and its location in the Debed River valley.
  • E. Ayen
    Ayen is a small commune in central France’s Corrèze department, known for its rural character and location within the Nouvelle-Aquitaine region.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839878948190b170e64629d6f2db completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6856341b481909d2ee71893e6117b completed April 20, 2026, 7:58 p.m.
NEDg Description generation batch_69e68fd6b6088190b24f552b5afc3f55 completed April 20, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7d683448190b7557bffd92b3ad6 completed April 20, 2026, 11:33 p.m.
Created at: April 8, 2026, 9:37 p.m.