Triple
T3411158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simms |
E71896
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Sims |
E336413
|
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: Sims | Statement: [Simms, hasVariant, Sims]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sims Context triple: [Simms, hasVariant, Sims]
-
A.
Sims
chosen
Sims is a common English surname borne by numerous notable individuals across fields such as politics, sports, science, and the arts.
-
B.
Simm
Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
-
C.
Odyssey Sims
Odyssey Sims is an American professional basketball guard known for her standout collegiate career at Baylor University and subsequent success in the WNBA.
-
D.
Animal Crossing
Animal Crossing is a popular life-simulation video game franchise where players build and customize communities while interacting with anthropomorphic animal villagers in real time.
-
E.
AMES
AMES is the commonly used abbreviation for the Faculty of Asian and Middle Eastern Studies at the University of Cambridge, which focuses on the languages, cultures, and histories of Asia and the Middle East.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9094b2881909262e58a470ed9d0 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bdf81e48190abac8ea645e929ce |
completed | March 12, 2026, 11:27 p.m. |
Created at: March 8, 2026, 3:15 p.m.