Triple
T3122047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvia Robinson |
E65205
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Little Sylvia |
E30938
|
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: Little Sylvia | Statement: [Sylvia Robinson, alsoKnownAs, Little Sylvia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Sylvia Context triple: [Sylvia Robinson, alsoKnownAs, Little Sylvia]
-
A.
Sylvia’s
Sylvia’s is a famed soul food restaurant in Harlem, New York City, renowned for its Southern cuisine and cultural significance in the neighborhood.
-
B.
Little Mother
Little Mother is a story that served as the literary basis for the classic 1939 romantic comedy film "Bachelor Mother."
-
C.
Little Voice
Little Voice is the major-label debut studio album by American singer-songwriter Sara Bareilles, featuring her breakthrough hit "Love Song."
-
D.
Sylvia
chosen
Sylvia is a feminine given name of Latin origin meaning "from the forest" or "of the woods."
-
E.
Chiquitita
"Chiquitita" is a popular 1979 pop ballad by Swedish group ABBA, known for its uplifting melody and comforting lyrics about offering support in times of sadness.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada52ab05c819088204bbb608c837c |
completed | March 8, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f6f57fc8190a5f50028792ac394 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.