Triple

T11016607
Position Surface form Disambiguated ID Type / Status
Subject Enterprise Objects Framework E260380 entity
Predicate hasComponent P35 FINISHED
Object EOModeler
EOModeler is a graphical modeling tool used to define and manage object-relational mappings and data models within Apple’s Enterprise Objects Framework.
E900219 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: EOModeler | Statement: [Enterprise Objects Framework, hasComponent, EOModeler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EOModeler
Context triple: [Enterprise Objects Framework, hasComponent, EOModeler]
  • A. Modeler
    Modeler is LightWave 3D’s dedicated 3D modeling application used to create and edit polygonal and subdivision-surface geometry.
  • B. ER/Studio
    ER/Studio is a data modeling and architecture tool used by database and enterprise architects to design, document, and manage complex data structures across diverse database platforms.
  • C. Modia
    Modia is one of the smaller islands in the Echinades group off the western coast of Greece in the Ionian Sea.
  • D. EarthViewer 3D
    EarthViewer 3D was the original 3D virtual globe software developed by Keyhole, Inc. that later evolved into what is now known as Google Earth.
  • E. Modo
    Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
  • 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: EOModeler
Triple: [Enterprise Objects Framework, hasComponent, EOModeler]
Generated description
EOModeler is a graphical modeling tool used to define and manage object-relational mappings and data models within Apple’s Enterprise Objects Framework.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EOModeler
Target entity description: EOModeler is a graphical modeling tool used to define and manage object-relational mappings and data models within Apple’s Enterprise Objects Framework.
  • A. Modeler
    Modeler is LightWave 3D’s dedicated 3D modeling application used to create and edit polygonal and subdivision-surface geometry.
  • B. ER/Studio
    ER/Studio is a data modeling and architecture tool used by database and enterprise architects to design, document, and manage complex data structures across diverse database platforms.
  • C. Modia
    Modia is one of the smaller islands in the Echinades group off the western coast of Greece in the Ionian Sea.
  • D. EarthViewer 3D
    EarthViewer 3D was the original 3D virtual globe software developed by Keyhole, Inc. that later evolved into what is now known as Google Earth.
  • E. Modo
    Modo is a Swedish professional ice hockey club known for developing numerous NHL players and competing in the country’s top leagues.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797a682908190b061d1995e2866b6 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374d371ec8190aba9e77346c6e876 completed April 18, 2026, 12:10 p.m.
NEDg Description generation batch_69e37ab6ca788190ac41f9494ad9a47f completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e37c9439fc8190a69cfb1a13da4c19 completed April 18, 2026, 12:44 p.m.
Created at: April 8, 2026, 9:25 p.m.