Triple
T1657822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. H. Macy |
E35839
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Macy
Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
|
E187872
|
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: Macy | Statement: [R. H. Macy, familyName, Macy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macy Context triple: [R. H. Macy, familyName, Macy]
-
A.
Marylou
Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
-
B.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
C.
Nancy
Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
-
D.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
-
E.
Lucille
Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
- 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: Macy Triple: [R. H. Macy, familyName, Macy]
Generated description
Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Macy Target entity description: Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
-
A.
Marylou
Marylou is a free-spirited, impulsive young woman who embodies the restless, hedonistic energy of the Beat Generation in Jack Kerouac’s novel "On the Road."
-
B.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
C.
Nancy
Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
-
D.
Lucille
"Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
-
E.
Lucille
Lucille is the famous black Gibson guitar closely associated with blues legend B.B. King, who named all his guitars by this name.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a8d85f08190a50ade3f443b7703 |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad68254a6081909c2222fd77dff648 |
completed | March 8, 2026, 12:14 p.m. |
| NEDg | Description generation | batch_69ad68a9769081908a0748b8d02b8379 |
completed | March 8, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad692d61288190ad0c0265f49643ac |
completed | March 8, 2026, 12:18 p.m. |
Created at: March 4, 2026, 7:29 p.m.