Triple
T1335519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberta |
E28738
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Robyn |
E85464
|
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: Robyn | Statement: [Roberta, relatedName, Robyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robyn Context triple: [Roberta, relatedName, Robyn]
-
A.
Robyn
chosen
Robyn is the first given name of global pop and R&B superstar Rihanna, born Robyn Rihanna Fenty.
-
B.
Paloma Faith
Paloma Faith is an English singer, songwriter, and actress known for her soulful retro-inspired music and distinctive theatrical style.
-
C.
Anne-Marie
Anne-Marie is an English pop singer and songwriter known for hits like "Alarm" and "2002" and for serving as a coach on The Voice UK.
-
D.
Imogen Heap
Imogen Heap is an English singer-songwriter, producer, and audio innovator known for her experimental electronic music and pioneering work with music technology such as the Mi.Mu gloves.
-
E.
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.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1ecb5208190a9eadda113c91e66 |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62b9bd081909dbe22cbea03f21f |
completed | March 8, 2026, 12:43 a.m. |
Created at: March 1, 2026, 7:55 p.m.