Triple
T8490278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simpson |
E200950
|
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: [Simpson, hasVariant, Sims]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sims Context triple: [Simpson, 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.
The Sims 4
The Sims 4 is a life simulation video game by Maxis and Electronic Arts in which players create and control virtual people and build and manage their homes and lives.
-
C.
Simm
Simm is an English surname most notably associated with actor John Simm, known for his roles in British television and film.
-
D.
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.
-
E.
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.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5596f1c8190aead21a245f21c07 |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a54c3888190b11b7e9909abe518 |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:13 p.m.