Triple

T5922183
Position Surface form Disambiguated ID Type / Status
Subject Susan Crown Exchange E131724 entity
Predicate alsoKnownAs P39 FINISHED
Object SCE
SCE is a philanthropic organization focused on improving youth development and education through strategic investments and partnerships.
 E555965 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: SCE | Statement: [Susan Crown Exchange, alsoKnownAs, SCE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCE
Context triple: [Susan Crown Exchange, alsoKnownAs, SCE]
  • A. SCE
    SCE is the abbreviation for the Office of South Central European Affairs, a U.S. State Department office focused on diplomacy and policy in the South Central Europe region.
  • B. SCE
    SCE is the abbreviated name for the SOM Steering Committee on ECOTECH, a body within APEC that oversees and coordinates economic and technical cooperation initiatives.
  • C. SIE
    SIE is the stock ticker symbol for Siemens AG, a major German multinational conglomerate specializing in industrial manufacturing, energy, and infrastructure technologies.
  • D. SDC
    SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
  • E. SCB
    SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
  • 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: SCE
Triple: [Susan Crown Exchange, alsoKnownAs, SCE]
Generated description
SCE is a philanthropic organization focused on improving youth development and education through strategic investments and partnerships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCE
Target entity description: SCE is a philanthropic organization focused on improving youth development and education through strategic investments and partnerships.
  • A. SCE
    SCE is the abbreviation for the Office of South Central European Affairs, a U.S. State Department office focused on diplomacy and policy in the South Central Europe region.
  • B. SCE
    SCE is the abbreviated name for the SOM Steering Committee on ECOTECH, a body within APEC that oversees and coordinates economic and technical cooperation initiatives.
  • C. SIE
    SIE is the stock ticker symbol for Siemens AG, a major German multinational conglomerate specializing in industrial manufacturing, energy, and infrastructure technologies.
  • D. SDC
    SDC is a dust-detecting scientific instrument aboard NASA’s New Horizons spacecraft used to study space dust in the outer solar system.
  • E. SCB
    SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c041d4f08190863141b037b1c05f completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1db6d548190ba4be143aa7c7905 completed March 23, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0c2bdd44881909aa85589d31e771a completed March 23, 2026, 4:34 a.m.
Created at: March 22, 2026, 4 p.m.