Triple
T14336598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sim |
E355480
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Simms |
E71896
|
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: Simms | Statement: [Sim, hasVariant, Simms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simms Context triple: [Sim, hasVariant, Simms]
-
A.
Simms
chosen
Simms is a surname most prominently associated with former NFL quarterback and sports broadcaster Phil Simms.
-
B.
Rimington
Rimington is a small rural village and civil parish in the Ribble Valley district of Lancashire, England.
-
C.
Wilsons
"Wilsons" is the standard English plural form of the surname "Wilson," commonly used to refer collectively to members of a family or group with that name.
-
D.
Sijmons
Sijmons is a surname variant of Simons, commonly found in Dutch-speaking regions.
-
E.
Simmons
Simmons is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, academia, and business.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46986758819088750150ad47bae1 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.