Triple
T23200221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Ryan |
E579985
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Penneys |
—
|
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: Penneys | Statement: [Arthur Ryan, founded, Penneys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penneys Context triple: [Arthur Ryan, founded, Penneys]
-
A.
Penneys
chosen
Penneys is the brand name used in Ireland by Primark, a major international discount fashion and homeware retailer.
-
B.
J. C. Penney
J. C. Penney was an American businessman and entrepreneur best known as the founder of the JCPenney department store chain.
-
C.
Younkers
Younkers was a regional American department store chain, historically based in the Midwest and known for its full-line retail offerings before its eventual closure.
-
D.
Fivepenny
Fivepenny is a small settlement on the Isle of Lewis in Scotland’s Outer Hebrides, known for its remote coastal setting and traditional crofting landscape.
-
E.
Higbee
Higbee is the middle name of Talton Higbee Embry, an American aviation pioneer and co-founder of what became American Airlines.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19078f28c8190973f1bd6f2bceb5a |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:06 p.m.