Triple
T13735442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doomtree |
E329931
|
entity |
| Predicate | hasMember |
P10
|
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: [Doomtree, hasMember, Sims]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sims Context triple: [Doomtree, hasMember, 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
The Sims is a life-simulation video game franchise by Maxis and Electronic Arts in which players create and control virtual people and their everyday lives.
-
C.
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.
-
D.
The Sims Social
The Sims Social was a Facebook-based social simulation game that adapted the popular life-simulation mechanics of The Sims into an online, social-networking format.
-
E.
Sims site
The Sims site is an important archaeological mound complex in Louisiana associated with the Plaquemine culture, notable for its ceremonial and residential earthworks.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b069ba5481909bb5724d2fb54bb1 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 9:55 p.m.