Triple
T21199703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Bridge |
E522420
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bridge |
—
|
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: Bridge | Statement: [Frank Bridge, familyName, Bridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridge Context triple: [Frank Bridge, familyName, Bridge]
-
A.
Bridge
chosen
Bridge is a common English surname borne by various notable individuals, including figures in music, sports, and public life.
-
B.
Bridge
Bridge is a structural design pattern that decouples an abstraction from its implementation so that the two can vary independently.
-
C.
Bridge
Bridge is a studio album by American rock band Blues Traveler that marked their return to recording following the death of bassist Bobby Sheehan.
-
D.
Bridge (formerly)
Bridge (formerly) is a corporate learning and employee development platform that helps organizations deliver training, track performance, and improve workforce engagement.
-
E.
The Bridge
The Bridge is the commonly used nickname for Stamford Bridge, the historic home stadium of Chelsea Football Club in London.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7342fe3a08190b7ed2cadf60091a8 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:17 p.m.