Triple
T24019699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bon Marché (historical) |
E594781
|
entity |
| Predicate | laterMarketedUnder |
P21045
|
FINISHED |
| Object | Macy’s name |
—
|
LITERAL 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: Macy’s name | Statement: [The Bon Marché (historical), laterMarketedUnder, Macy’s name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterMarketedUnder Context triple: [The Bon Marché (historical), laterMarketedUnder, Macy’s name]
-
A.
marketedFor
Indicates that something is promoted, advertised, or positioned as being intended or suitable for a particular use, audience, or purpose.
-
B.
marketedWith
Indicates that two or more products or services are promoted together as part of the same marketing effort or campaign.
-
C.
marketedFrom
Indicates that a product, service, or offering began to be marketed starting from a specified time or date.
-
D.
alsoSoldAs
chosen
Indicates that one item is marketed or available under an alternative name, label, or product identity.
-
E.
laterReReleasedBy
Indicates that an entity was re-released at a later time by a specified agent or organization.
- F. None of above.
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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d5a925208190badd075519a0f4b6 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:42 p.m.