Triple
T15743970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May Department Stores Company |
E381670
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object |
Gayfers
Gayfers was a regional American department store chain known for selling mid-priced apparel and home goods throughout the Southeastern United States.
|
E1174252
|
NE FINISHED |
How this triple was built (4 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: Gayfers | Statement: [May Department Stores Company, ownedBrand, Gayfers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gayfers Context triple: [May Department Stores Company, ownedBrand, Gayfers]
-
A.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
B.
Garies
Garies is a small rural town in South Africa’s Northern Cape, known as a gateway settlement within the arid Namaqualand region famed for its spring wildflower displays.
-
C.
Fager
Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
-
D.
Shafroth
Shafroth is a surname most notably associated with John F. Shafroth, an American politician who served as a U.S. Representative, Senator, and Governor of Colorado in the early 20th century.
-
E.
Garris
Garris is a surname most notably associated with American filmmaker and screenwriter Mick Garris, known for his work in the horror genre.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gayfers Triple: [May Department Stores Company, ownedBrand, Gayfers]
Generated description
Gayfers was a regional American department store chain known for selling mid-priced apparel and home goods throughout the Southeastern United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gayfers Target entity description: Gayfers was a regional American department store chain known for selling mid-priced apparel and home goods throughout the Southeastern United States.
-
A.
Faydi
Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
-
B.
Garies
Garies is a small rural town in South Africa’s Northern Cape, known as a gateway settlement within the arid Namaqualand region famed for its spring wildflower displays.
-
C.
Fager
Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
-
D.
Shafroth
Shafroth is a surname most notably associated with John F. Shafroth, an American politician who served as a U.S. Representative, Senator, and Governor of Colorado in the early 20th century.
-
E.
Garris
Garris is a surname most notably associated with American filmmaker and screenwriter Mick Garris, known for his work in the horror genre.
- F. None of above. chosen
Provenance (5 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_69ff8307824881909ba85e4c3da65d28 |
completed | May 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69ff83ca33d08190816130bf2ea735df |
completed | May 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff846436e48190b711da134c9a3b81 |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 4:46 a.m.