Triple
T20838473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen |
E513023
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Steven |
—
|
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: Steven | Statement: [Stephen, hasAlternativeSpelling, Steven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Context triple: [Stephen, hasAlternativeSpelling, Steven]
-
A.
Steven
Steven is the birth name of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
-
B.
Steven
Steven is the given name of renowned American filmmaker Steven Spielberg.
-
C.
Steven
Steven is the given first name of Steve Albini, the influential American musician, recording engineer, and producer known for his work with numerous alternative rock bands.
-
D.
Steven
Steven is the given name of the American stand-up comedian and actor Steven Wright, known for his deadpan delivery and surreal humor.
-
E.
Steven
Steven is the given name of professional basketball player Steven Adams, a New Zealand-born NBA center known for his physical play and rebounding.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32928788190be8ca57923eefd7e |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:42 p.m.