Triple

T7501990
Position Surface form Disambiguated ID Type / Status
Subject EMC Corporation E177281 entity
Predicate product P490 FINISHED
Object Avamar
Avamar is EMC Corporation’s enterprise data backup and recovery software solution known for its source-based data deduplication technology.
 E668702 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: Avamar | Statement: [EMC Corporation, product, Avamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avamar
Context triple: [EMC Corporation, product, Avamar]
  • A. PowerVault
    PowerVault is Dell's line of data storage systems designed for small to medium-sized businesses and enterprise environments.
  • B. Eazel
    Eazel was a short-lived software company best known for developing the Nautilus file manager and attempting to simplify the Linux desktop experience around 2000–2001.
  • C. Maxtor Tower
    Maxtor Tower is a historic defensive tower that forms part of the medieval fortifications of Nuremberg, Germany.
  • D. IronWolf
    IronWolf is Seagate’s line of hard drives designed specifically for high-capacity, always-on network-attached storage (NAS) systems.
  • E. Sorenson Video
    Sorenson Video is a proprietary video compression codec widely used in the late 1990s and early 2000s for delivering high-quality, low-bitrate video, particularly in Apple’s QuickTime platform and early web streaming.
  • 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: Avamar
Triple: [EMC Corporation, product, Avamar]
Generated description
Avamar is EMC Corporation’s enterprise data backup and recovery software solution known for its source-based data deduplication technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avamar
Target entity description: Avamar is EMC Corporation’s enterprise data backup and recovery software solution known for its source-based data deduplication technology.
  • A. PowerVault
    PowerVault is Dell's line of data storage systems designed for small to medium-sized businesses and enterprise environments.
  • B. Eazel
    Eazel was a short-lived software company best known for developing the Nautilus file manager and attempting to simplify the Linux desktop experience around 2000–2001.
  • C. Maxtor Tower
    Maxtor Tower is a historic defensive tower that forms part of the medieval fortifications of Nuremberg, Germany.
  • D. IronWolf
    IronWolf is Seagate’s line of hard drives designed specifically for high-capacity, always-on network-attached storage (NAS) systems.
  • E. Sorenson Video
    Sorenson Video is a proprietary video compression codec widely used in the late 1990s and early 2000s for delivering high-quality, low-bitrate video, particularly in Apple’s QuickTime platform and early web streaming.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59be2748190ad8e94179f594e51 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9490fc81908d35c0537b45aa13 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e17c25c8190a7a329f0a6169fac completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83ef9ce408190907a62c9d0a6dc16 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:44 p.m.