Triple
T6555883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone |
E152444
|
entity |
| Predicate | isCognateWith |
P2527
|
FINISHED |
| Object | Simona |
E152444
|
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: Simona | Statement: [Simone, isCognateWith, Simona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simona Context triple: [Simone, isCognateWith, Simona]
-
A.
Simone
chosen
Simone is a feminine given name of Hebrew origin meaning "hearkening" or "one who listens," widely used across various cultures.
-
B.
Simona Brown
Simona Brown is a British actress known for her roles in television dramas and thrillers, including prominent performances in series like "The Little Drummer Girl" and "Behind Her Eyes."
-
C.
Tamara
Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
-
D.
Sonia
Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
-
E.
Sonia
Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1d28bc8190a2fa4b3e1e39863c |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e4234c148190b19d36903cb67651 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:51 p.m.