Triple
T31658196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dropout |
E807918
|
entity |
| Predicate | basedOnEventsIn |
P33853
|
FINISHED |
| Object | Silicon Valley |
—
|
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: Silicon Valley | Statement: [The Dropout, basedOnEventsIn, Silicon Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnEventsIn Context triple: [The Dropout, basedOnEventsIn, Silicon Valley]
-
A.
basedOnEvent
Indicates that something is derived from, influenced by, or determined in reference to a specific event.
-
B.
basedOnEventsDescribedIn
chosen
Indicates that something is derived from, inspired by, or constructed using the events described in another source.
-
C.
includesEvents
Indicates that one entity contains or encompasses one or more events as part of its scope or composition.
-
D.
drivesEventsOf
Indicates a causal relationship where one entity initiates, controls, or is responsible for the occurrence and progression of certain events.
-
E.
recordsEventsVia
Indicates that one entity captures or logs events through the mechanism, system, or medium provided by another entity.
- F. None of above.
Provenance (3 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: April 30, 2026, 10:56 p.m.