Triple
T23519306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TJX Companies |
E574458
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | T.J. Maxx |
—
|
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: T.J. Maxx | Statement: [TJX Companies, brand, T.J. Maxx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T.J. Maxx Context triple: [TJX Companies, brand, T.J. Maxx]
-
A.
TJ Maxx
chosen
TJ Maxx is a major American off-price department store chain known for selling brand-name apparel, home goods, and accessories at discounted prices.
-
B.
TK Maxx
TK Maxx is a major off-price retail chain in the UK and Europe, offering discounted brand-name clothing, homeware, and accessories.
-
C.
Marshalls
Marshalls is a major American off-price department store chain known for selling brand-name clothing, home goods, and accessories at discounted prices.
-
D.
Dillard's
Dillard's is a major American department store chain offering a wide range of apparel, cosmetics, and home goods, primarily located in shopping malls across the United States.
-
E.
Lord & Taylor
Lord & Taylor is a historic American department store chain known for its upscale fashion offerings and flagship presence on New York City's Fifth Avenue.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa84fe7c8190aa1078a118af7d61 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.