Triple
T18925029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Office |
E462951
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | One Voice |
—
|
NE NERFINISHED |
How this triple was built (2 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: One Voice | Statement: [One Office, relatedConcept, One Voice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: One Voice Context triple: [One Office, relatedConcept, One Voice]
-
A.
One Voice
chosen
One Voice is a song featured on the album "Never Say Never."
-
B.
One Voice
"One Voice" is a 1979 pop album by American singer-songwriter Barry Manilow, featuring the hit single "Ships" and showcasing his signature melodic ballad style.
-
C.
The Voice of One Crying
The Voice of One Crying is the English title of John Gower’s Latin poem *Vox Clamantis*, a medieval work best known for its moral and political commentary on 14th-century English society and events like the Peasants’ Revolt.
-
D.
One Vision
"One Vision" is a 1985 rock song by the British band Queen, known for its powerful anthem-like style and association with the film "Iron Eagle."
-
E.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b77c188190b2274ef45d538508 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.