Triple
T2290077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Opera House (Macon, Georgia) |
E51481
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
The Grand
The Grand is a historic performing arts theater and cultural landmark located in Macon, Georgia.
|
E254092
|
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: The Grand | Statement: [Grand Opera House (Macon, Georgia), alsoKnownAs, The Grand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Grand Context triple: [Grand Opera House (Macon, Georgia), alsoKnownAs, The Grand]
-
A.
La Grande
La Grande is a small city in northeastern Oregon that serves as a regional hub and home to Eastern Oregon University.
-
B.
The Reservoir
The Reservoir is a large man-made lake in Central Park, New York City, popular for its scenic running track and iconic skyline views.
-
C.
De Benneville
De Benneville "Bert" Bell was a prominent American football executive best known as the NFL commissioner who helped modernize and popularize the league in the mid-20th century.
-
D.
De Canas
De Canas is a party to the U.S. Supreme Court case De Canas v. Bica, which addressed the extent of state authority over the employment of unauthorized immigrants.
-
E.
The Lake
The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
- 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: The Grand Triple: [Grand Opera House (Macon, Georgia), alsoKnownAs, The Grand]
Generated description
The Grand is a historic performing arts theater and cultural landmark located in Macon, Georgia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Grand Target entity description: The Grand is a historic performing arts theater and cultural landmark located in Macon, Georgia.
-
A.
La Grande
La Grande is a small city in northeastern Oregon that serves as a regional hub and home to Eastern Oregon University.
-
B.
The Reservoir
The Reservoir is a large man-made lake in Central Park, New York City, popular for its scenic running track and iconic skyline views.
-
C.
De Benneville
De Benneville "Bert" Bell was a prominent American football executive best known as the NFL commissioner who helped modernize and popularize the league in the mid-20th century.
-
D.
De Canas
De Canas is a party to the U.S. Supreme Court case De Canas v. Bica, which addressed the extent of state authority over the employment of unauthorized immigrants.
-
E.
The Lake
The Lake is a village-like neighborhood in Newton, Massachusetts, known for its strong community identity and historically Irish-American roots.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f210bb881909086b86b2c3017a7 |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae8018c2e88190aaacaad9adc442cf |
completed | March 9, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae806fd8008190bfd6c6bcd1d0ddbd |
completed | March 9, 2026, 8:10 a.m. |
Created at: March 4, 2026, 7:48 p.m.