Triple
T2412974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Spiegel |
E52235
|
entity |
| Predicate | isMillennialEntrepreneur |
P37737
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Evan Spiegel, isMillennialEntrepreneur, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMillennialEntrepreneur Context triple: [Evan Spiegel, isMillennialEntrepreneur, true]
-
A.
typeOfEntrepreneur
Indicates the specific category or kind of entrepreneur that an entity is classified as.
-
B.
entrepreneurialFocus
Indicates a relationship where an entity prioritizes or emphasizes entrepreneurial activities, initiatives, or mindset in its behavior or strategy.
-
C.
isPro
Indicates that an entity is a professional or expert in a particular field, activity, or domain.
-
D.
businessModelPioneerOf
Indicates that an entity was the first or among the first to introduce, develop, or popularize a particular business model that others later adopted.
-
E.
hasFoundedCompany
Indicates that a person or entity has established or created a company.
- F. None of above. chosen
Provenance (4 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc92a4e1c8190819fa676295ac145 |
completed | March 7, 2026, 6:43 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6011e348190b6f9c038c7559289 |
completed | March 7, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:41 p.m.