Triple
T9762673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simmons |
E236706
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Simons |
E266776
|
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: Simons | Statement: [Simmons, hasVariant, Simons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simons Context triple: [Simmons, hasVariant, Simons]
-
A.
Simons
Simons is a Canadian fashion and home goods department store chain known for its stylish, contemporary merchandise and distinctive store designs.
-
B.
Simons
chosen
Simons is a Dutch surname most notably associated with Menno Simons, the 16th-century religious leader whose teachings gave rise to the Mennonite movement.
-
C.
Simmons
Simmons is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, academia, and business.
-
D.
Simoni
Simoni is an Italian surname most notably associated with Gigi Simoni, a respected former football player and manager.
-
E.
Simonis
Simonis is a major Brussels Metro interchange station serving multiple lines in the northwest of Brussels, Belgium.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09d8bc88190808145f141b4a9f8 |
completed | April 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcec777c81908b2eff64f4756517 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:25 p.m.