Triple
T14786385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bench language |
E347535
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object |
Bench
Bench is an Afroasiatic Omotic language spoken primarily in southwestern Ethiopia by the Bench people.
|
E1119800
|
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: Bench | Statement: [Bench language, glottologName, Bench]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bench Context triple: [Bench language, glottologName, Bench]
-
A.
Bench
Bench is a surname most famously associated with Johnny Bench, the Hall of Fame Major League Baseball catcher.
-
B.
Work Bench
Work Bench is a fictional big-box electronics retail store featured in the TV series "Chuck," where several main characters, including Bert "Sock" Wysocki, work.
-
C.
The Bench
"The Bench" is a children's picture book by Meghan, Duchess of Sussex, that reflects on the bond between fathers and sons through a mother's perspective.
-
D.
The Bench
The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
-
E.
The Bench
The Bench is a film featuring Danish actor Jesper Christensen in a prominent role.
- 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: Bench Triple: [Bench language, glottologName, Bench]
Generated description
Bench is an Afroasiatic Omotic language spoken primarily in southwestern Ethiopia by the Bench people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bench Target entity description: Bench is an Afroasiatic Omotic language spoken primarily in southwestern Ethiopia by the Bench people.
-
A.
Bench
Bench is a surname most famously associated with Johnny Bench, the Hall of Fame Major League Baseball catcher.
-
B.
Work Bench
Work Bench is a fictional big-box electronics retail store featured in the TV series "Chuck," where several main characters, including Bert "Sock" Wysocki, work.
-
C.
The Bench
"The Bench" is a children's picture book by Meghan, Duchess of Sussex, that reflects on the bond between fathers and sons through a mother's perspective.
-
D.
The Bench
The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
-
E.
The Bench
The Bench is a film featuring Danish actor Jesper Christensen in a prominent role.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b9e8a08190bc736ac207b77324 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe266a05308190b9f6adba3e635e2f |
completed | May 8, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe26f8fb7881909892c381b16fc80a |
completed | May 8, 2026, 6:10 p.m. |
Created at: April 10, 2026, 1:31 a.m.