Triple
T7474509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glass |
E176595
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Merle Glass
Merle Glass is an individual notable enough to be recognized as a prominent bearer of the surname Glass.
|
E667589
|
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: Merle Glass | Statement: [Glass, hasNotableBearer, Merle Glass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merle Glass Context triple: [Glass, hasNotableBearer, Merle Glass]
-
A.
Leslie Barns
Leslie Barns is a modern streetcar maintenance and storage facility in Toronto that supports the city’s light rail fleet.
-
B.
George Keller
George Keller was a prominent late 19th- and early 20th-century American architect known for designing significant civic and commemorative structures, particularly in Hartford, Connecticut.
-
C.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
-
D.
Leslie
Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
-
E.
Leslie
Leslie is a character featured in the work "Seascape."
- 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: Merle Glass Triple: [Glass, hasNotableBearer, Merle Glass]
Generated description
Merle Glass is an individual notable enough to be recognized as a prominent bearer of the surname Glass.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Merle Glass Target entity description: Merle Glass is an individual notable enough to be recognized as a prominent bearer of the surname Glass.
-
A.
Leslie Barns
Leslie Barns is a modern streetcar maintenance and storage facility in Toronto that supports the city’s light rail fleet.
-
B.
George Keller
George Keller was a prominent late 19th- and early 20th-century American architect known for designing significant civic and commemorative structures, particularly in Hartford, Connecticut.
-
C.
Leslie
Leslie is the given name of Leslie R. Groves Jr., the U.S. Army Corps of Engineers officer who directed the Manhattan Project during World War II.
-
D.
Leslie
Leslie is the given name of American actress and singer Leslie Uggams, known for her work on stage, television, and film.
-
E.
Leslie
Leslie is a Toronto subway station on Line 4 Sheppard in the city's transit system.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f417fbb48190b134eaf1da1b4289 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8348561448190add358da0845fbee |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c83544c524819094d013affc03ff62 |
completed | March 28, 2026, 8:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c835ea13c88190b7423c6c7bdae983 |
completed | March 28, 2026, 8:11 p.m. |
Created at: March 27, 2026, 3:41 p.m.