Triple
T13931309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Work from Home |
E334997
|
entity |
| Predicate | performedBy |
P1363
|
FINISHED |
| Object | Dinah Jane |
E582571
|
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: Dinah Jane | Statement: [Work from Home, performedBy, Dinah Jane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinah Jane Context triple: [Work from Home, performedBy, Dinah Jane]
-
A.
Dinah Jane
chosen
Dinah Jane is an American singer best known as a former member of the girl group Fifth Harmony, with whom she rose to fame on The X Factor before pursuing a solo music career.
-
B.
Jennie
Jennie is a feminine given name commonly used as a diminutive or variant of Jennifer.
-
C.
Syleena Johnson
Syleena Johnson is an American R&B and soul singer-songwriter known for her powerful vocals and collaborations with artists like Kanye West.
-
D.
Mya
Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
-
E.
Mya Stone
Mya Stone is an illegitimate daughter of King Robert Baratheon in the world of "A Song of Ice and Fire," known for her skill as a mountain guide in the Vale.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8452648190b7392d75eb1ca874 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:16 p.m.