Triple
T18325520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Power of Now: How Winning Companies Sense and Respond to Change Using Real-time Technology |
E438994
|
entity |
| Predicate | hasSubtitle |
P1916
|
FINISHED |
| Object | How Winning Companies Sense and Respond to Change Using Real-time Technology |
—
|
NE NERFINISHED |
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: How Winning Companies Sense and Respond to Change Using Real-time Technology | Statement: [The Power of Now: How Winning Companies Sense and Respond to Change Using Real-time Technology, hasSubtitle, How Winning Companies Sense and Respond to Change Using Real-time Technology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Winning Companies Sense and Respond to Change Using Real-time Technology Context triple: [The Power of Now: How Winning Companies Sense and Respond to Change Using Real-time Technology, hasSubtitle, How Winning Companies Sense and Respond to Change Using Real-time Technology]
-
A.
The Power of Now: How Winning Companies Sense and Respond to Change Using Real-time Technology
chosen
"The Power of Now: How Winning Companies Sense and Respond to Change Using Real-time Technology" is a business and technology book by Vivek Ranadivé that explains how organizations can gain competitive advantage by using real-time information systems to sense and respond rapidly to changing conditions.
-
B.
The Power to Predict: How Real Time Businesses Anticipate Customer Needs, Create Opportunities, and Beat the Competition
"The Power to Predict: How Real Time Businesses Anticipate Customer Needs, Create Opportunities, and Beat the Competition" is a business and technology book by Vivek Ranadivé that explains how companies can use real-time data and predictive analytics to gain a competitive edge.
-
C.
Elastic: Flexible Thinking in a Time of Change
Elastic: Flexible Thinking in a Time of Change is a popular science book by Leonard Mlodinow that explores how adaptive, non-linear thinking helps people and organizations navigate rapid change and uncertainty.
-
D.
The Real World of Technology
The Real World of Technology is a collection of lectures by physicist and feminist Ursula Franklin that critically examines how modern technology shapes society, power structures, and everyday life.
-
E.
Digital Transformation: Survive and Thrive in an Era of Mass Extinction
"Digital Transformation: Survive and Thrive in an Era of Mass Extinction" is a business and technology book by Thomas Siebel that explains how organizations can leverage cloud computing, big data, AI, and IoT to remain competitive amid rapid digital disruption.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aaa66ac819082ec718e8329e0cc |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.