Triple
T19639669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lena Meijer |
E471495
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Meijer family |
—
|
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: Meijer family | Statement: [Lena Meijer, memberOf, Meijer family]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meijer family Context triple: [Lena Meijer, memberOf, Meijer family]
-
A.
Meijer family
chosen
The Meijer family is an American business family best known for founding and expanding the Meijer chain of supercenter retail stores in the Midwest.
-
B.
Meyer family
The Meyer family is a prominent American publishing dynasty closely associated with ownership and leadership of The Washington Post.
-
C.
Meyer family
The Meyer family is a familial lineage or household to which Catherine Meyer belongs.
-
D.
Mayers family
The Mayers family is a celebrity family best known for including rapper A$AP Rocky and singer Rihanna, along with their children.
-
E.
Weis family
The Weis family is a powerful and ultra-wealthy dynasty that dominates the rigidly class-stratified society in the science fiction film "In Time."
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641215df48190926b38e6502bb83e |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:44 p.m.