Triple
T21993169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sims 4 |
E543138
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Maxis |
—
|
NE NERFINISHED |
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: Maxis | Statement: [The Sims 4, developer, Maxis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxis Context triple: [The Sims 4, developer, Maxis]
-
A.
Maxis Software Inc.
chosen
Maxis Software Inc. is an American video game developer best known for creating the SimCity and The Sims franchises.
-
B.
Take-Two Interactive
Take-Two Interactive is a major American video game publisher known for franchises like Grand Theft Auto, Red Dead Redemption, and NBA 2K.
-
C.
MicroProse
MicroProse is a pioneering video game developer and publisher best known for its influential strategy and simulation titles, including early entries in the Civilization series.
-
D.
Activision Blizzard
Activision Blizzard is a major American video game holding company known for franchises such as Call of Duty, World of Warcraft, and Overwatch.
-
E.
Midway Games
Midway Games was an American video game company best known for publishing and developing popular arcade and console titles such as the Mortal Kombat series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1270f77fc8190aadcc02760d65ac0 |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:15 p.m.