Triple
T15743998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Associated Dry Goods |
E381671
|
entity |
| Predicate | owned |
P347
|
FINISHED |
| Object |
Hengerer’s
Hengerer’s was a prominent Buffalo, New York department store chain that became part of the Associated Dry Goods retail group.
|
E1174255
|
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: Hengerer’s | Statement: [Associated Dry Goods, owned, Hengerer’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hengerer’s Context triple: [Associated Dry Goods, owned, Hengerer’s]
-
A.
The Heldrich
The Heldrich is a modern hotel and conference center located in downtown New Brunswick, New Jersey, known for hosting business events, meetings, and upscale accommodations.
-
B.
Hendungen
Hendungen is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
C.
The Husel
The Husel is the hip-hop and trap-influenced alter ego of R&B singer Musiq Soulchild, used for his ventures into a more aggressive, modern urban sound.
-
D.
Hageland
Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
-
E.
Heldrungen
Heldrungen is a small town in the German state of Thuringia, notable for its historic water castle and location near the confluence of the Unstrut and Wipper rivers.
- 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: Hengerer’s Triple: [Associated Dry Goods, owned, Hengerer’s]
Generated description
Hengerer’s was a prominent Buffalo, New York department store chain that became part of the Associated Dry Goods retail group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hengerer’s Target entity description: Hengerer’s was a prominent Buffalo, New York department store chain that became part of the Associated Dry Goods retail group.
-
A.
The Heldrich
The Heldrich is a modern hotel and conference center located in downtown New Brunswick, New Jersey, known for hosting business events, meetings, and upscale accommodations.
-
B.
Hendungen
Hendungen is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
C.
The Husel
The Husel is the hip-hop and trap-influenced alter ego of R&B singer Musiq Soulchild, used for his ventures into a more aggressive, modern urban sound.
-
D.
Hageland
Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
-
E.
Heldrungen
Heldrungen is a small town in the German state of Thuringia, notable for its historic water castle and location near the confluence of the Unstrut and Wipper rivers.
- 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.