Triple
T9056340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sessions Band |
E217006
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Soozie Tyrell |
E216642
|
NE FINISHED |
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: Soozie Tyrell | Statement: [The Sessions Band, hasMember, Soozie Tyrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soozie Tyrell Context triple: [The Sessions Band, hasMember, Soozie Tyrell]
-
A.
Soozie Tyrell
chosen
Soozie Tyrell is an American violinist, guitarist, and singer best known for her longtime work with Bruce Springsteen and the E Street Band.
-
B.
Dameisha
Dameisha is a popular coastal area in Shenzhen, China, best known for its long sandy beach, seaside resorts, and recreational attractions.
-
C.
Tiana Rogers
Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
-
D.
Skylene Montgomery
Skylene Montgomery is an American nurse and former beauty pageant contestant best known as the wife of NFL coach Sean Payton.
-
E.
Tiffany Rivers
Tiffany Rivers is the longtime wife of former NFL quarterback Philip Rivers, known for their large family and her involvement in charitable and community activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a75d8e881909414d745ec054182 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02fe00980819082571eccb608d605 |
completed | April 3, 2026, 9:23 p.m. |
Created at: March 30, 2026, 7:10 p.m.