Triple

T28363315
Position Surface form Disambiguated ID Type / Status
Subject John Hagel III E718419 entity
Predicate notableWork P4 FINISHED
Object Out of the Box
Out of the Box is a business and technology book by John Hagel III that explores how companies can gain competitive advantage by leveraging digital networks, platforms, and innovative business models.
 E1813479 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: Out of the Box | Statement: [John Hagel III, notableWork, Out of the Box]
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: Out of the Box
Triple: [John Hagel III, notableWork, Out of the Box]
Generated description
Out of the Box is a business and technology book by John Hagel III that explores how companies can gain competitive advantage by leveraging digital networks, platforms, and innovative business models.

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_69eff6ed5af48190be4e0adf298223e0 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64c335e7c81908f4f3c2e3335059c completed May 2, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1627cf64788190960d88f9988d43b4 completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a162984e33c8190afe1c63f968237d1 completed May 26, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a162a080b348190923c6ee579c829c1 completed May 26, 2026, 11:17 p.m.
Created at: April 28, 2026, 12:53 a.m.