Triple
T15743987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May Department Stores Company |
E381670
|
entity |
| Predicate | notableSubsidiary |
P9212
|
FINISHED |
| Object | Hecht’s |
E371282
|
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: Hecht’s | Statement: [May Department Stores Company, notableSubsidiary, Hecht’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hecht’s Context triple: [May Department Stores Company, notableSubsidiary, Hecht’s]
-
A.
Hecht's
chosen
Hecht's was a regional department store chain in the Mid-Atlantic United States, later absorbed into Macy's.
-
B.
Demel
Demel is a historic and prestigious Viennese pastry shop and chocolatier renowned for its traditional cakes and confections.
-
C.
Fischer’s
Fischer’s is a renowned London restaurant known for its classic Viennese café style, serving Central European dishes in an elegant, old-world setting.
-
D.
Harveys
Harveys is a casino and hotel brand best known for its flagship resort on the south shore of Lake Tahoe, offering gaming, entertainment, and lodging.
-
E.
Von Maur
Von Maur is an American upscale department store chain known for its high-end fashion, customer service, and presence in major shopping malls across the Midwest and South.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502c0c3c8190b8e512df307039c1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff876b7fd081909d84ebe7a4cdb675 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:46 a.m.