Triple
T3107236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Sinegal |
E64860
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Costco |
E7861
|
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: Costco | Statement: [James Sinegal, employer, Costco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costco Context triple: [James Sinegal, employer, Costco]
-
A.
Costco Wholesale Corporation
chosen
Costco Wholesale Corporation is a multinational membership-based warehouse club retailer known for selling bulk goods at discounted prices through large-scale warehouse stores.
-
B.
Price Club
Price Club was a pioneering American membership-based warehouse retail chain that helped establish the modern wholesale club model later continued by Costco.
-
C.
Target Corporation
Target Corporation is a major American big-box retail chain known for its broad selection of affordable, stylish merchandise and nationwide presence.
-
D.
BJ's Wholesale Club
BJ's Wholesale Club is an American membership-based warehouse retail chain offering bulk goods and discounted merchandise similar to other wholesale clubs.
-
E.
Kroger
Kroger is one of the largest supermarket and retail grocery chains in the United States, operating thousands of stores under various banners nationwide.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29d4aa8819093287bc71370fc05 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f5994088190abc4b56040922c16 |
completed | March 12, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:04 p.m.