Triple
T10716505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labelle |
E252686
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Sarah Dash |
E534111
|
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: Sarah Dash | Statement: [Labelle, member, Sarah Dash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Dash Context triple: [Labelle, member, Sarah Dash]
-
A.
Sarah Dash
chosen
Sarah Dash was an American singer best known as a member of the pioneering R&B vocal group Labelle, famed for their hit "Lady Marmalade."
-
B.
Beth Davenport
Beth Davenport is a recurring character in the television series "The Rockford Files," where she works as a lawyer and often becomes involved in Jim Rockford’s cases.
-
C.
Tess Bell
Tess Bell is a fictional character from the television series "Hell on Wheels," portrayed as the savvy and resilient madam of a frontier brothel.
-
D.
Daria Johns
Daria Johns is an American child actress known for her role in the Netflix film "Nappily Ever After" and appearances in various television series.
-
E.
Dianthe Lusk
Dianthe Lusk was the first wife of American abolitionist John Brown and the mother of several of his children.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3566e88190b5c0c6d1b159dd45 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d999278b8481909bc4e849b9580eb7 |
completed | April 11, 2026, 12:43 a.m. |
Created at: April 8, 2026, 9:13 p.m.