Triple
T7070788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robyn Smith |
E164687
|
entity |
| Predicate | givenName |
P17
|
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: [Robyn Smith, givenName, Robyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robyn Context triple: [Robyn Smith, givenName, Robyn]
-
A.
Robyn
chosen
Robyn is the first given name of global pop and R&B superstar Rihanna, born Robyn Rihanna Fenty.
-
B.
Robyn
Robyn is a central character in the romantic comedy-drama film "The Best Man," known for her role in the complex relationships and emotional tensions among the group of friends.
-
C.
Jess Glynne
Jess Glynne is an English singer and songwriter known for her soulful vocals and chart-topping pop and dance hits, including several UK number-one singles.
-
D.
Ellie Goulding
Ellie Goulding is an English singer-songwriter known for her ethereal vocals and synth-pop hits such as "Lights" and "Love Me Like You Do."
-
E.
Madeleine Rondeaux
Madeleine Rondeaux was the wife of French Nobel Prize–winning author André Gide and a central figure in his personal life and correspondence.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c862f481908d1faf6ed57774f1 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7945a98108190b982ad41222333e4 |
completed | March 28, 2026, 8:42 a.m. |
Created at: March 27, 2026, 2:39 p.m.