Triple
T17196809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spehr |
E417371
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Speers |
E417370
|
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: Speers | Statement: [Spehr, hasSpellingVariant, Speers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speers Context triple: [Spehr, hasSpellingVariant, Speers]
-
A.
Speers
chosen
Speers is a surname that functions as a variant spelling of the more common name Speer.
-
B.
Spetters
Spetters is a 1980 Dutch drama film directed by Paul Verhoeven that follows three young motocross racers whose lives unravel amid ambition, sexuality, and disillusionment.
-
C.
Lance
Lance is a masculine given name of Germanic origin commonly used in English-speaking countries.
-
D.
Lance
Lance is a snack food brand best known for its sandwich crackers and other packaged snack products.
-
E.
Spence
Spence is a surname most notably associated with Michael Spence, the Nobel Prize–winning economist known for his work on signaling in markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42daab57c819093496cbdc7890f34 |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd7ef048190b0828ec6ea0e119c |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.