Triple
T9429298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michels |
E227331
|
entity |
| Predicate | variantOf |
P4680
|
FINISHED |
| Object | Michaels |
E43689
|
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: Michaels | Statement: [Michels, variantOf, Michaels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michaels Context triple: [Michels, variantOf, Michaels]
-
A.
Michaels
chosen
Michaels is the surname of Lorne Michaels, the influential Canadian-American television producer and creator of "Saturday Night Live."
-
B.
Michaels Companies
Michaels Companies is a major North American specialty retailer of arts, crafts, framing, floral, and home décor products.
-
C.
Staples
Staples is a surname most prominently associated with American singer and civil rights activist Mavis Staples.
-
D.
Macy's
Macy's is a major American department store chain known for its wide range of apparel, home goods, and its flagship store in New York City.
-
E.
J. C. Penney
J. C. Penney was an American businessman and entrepreneur best known as the founder of the JCPenney department store chain.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11038f7b88190bd6b895f5544c63e |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.