Triple
T31514938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Marx Hubbard |
E804043
|
entity |
| Predicate | proposedConcept |
P201
|
FINISHED |
| Object |
Synergy Engine
Synergy Engine is a visionary social innovation concept by futurist Barbara Marx Hubbard that imagines a collaborative, technology-supported system for aligning human creativity and resources to solve global challenges and foster conscious evolution.
|
E1964568
|
NE FINISHED |
How this triple was built (2 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: Synergy Engine | Statement: [Barbara Marx Hubbard, proposedConcept, Synergy Engine]
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: Synergy Engine Triple: [Barbara Marx Hubbard, proposedConcept, Synergy Engine]
Generated description
Synergy Engine is a visionary social innovation concept by futurist Barbara Marx Hubbard that imagines a collaborative, technology-supported system for aligning human creativity and resources to solve global challenges and foster conscious evolution.
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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a2578cb081908304c8d338fb5b81 |
completed | May 3, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b147b5fc0819096ba354601105eed |
completed | June 11, 2026, 8:03 p.m. |
| NEDg | Description generation | batch_6a2b17cc06b08190a169469e017f0696 |
completed | June 11, 2026, 8:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b18348f5c8190a364c36e6b26a477 |
completed | June 11, 2026, 8:19 p.m. |
Created at: April 30, 2026, 9:52 p.m.