Triple
T8007314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italia Smith |
E186393
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Nina Simone Smith |
E88070
|
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: Nina Simone Smith | Statement: [Italia Smith, sibling, Nina Simone Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nina Simone Smith Context triple: [Italia Smith, sibling, Nina Simone Smith]
-
A.
Nina Simone
chosen
Nina Simone was an influential American singer, pianist, and civil rights activist renowned for her powerful blend of jazz, blues, classical, and soul music.
-
B.
Abbey Lincoln
Abbey Lincoln was an influential American jazz vocalist, songwriter, and civil rights activist known for her expressive performances and collaborations with leading jazz musicians.
-
C.
Millie Jackson
Millie Jackson is an American R&B and soul singer-songwriter known for her powerful vocals, explicit lyrical style, and influential concept albums in the 1970s and 1980s.
-
D.
Aretha Cobbs
Aretha Cobbs is a character in the musical and film "Black Nativity," which reimagines the Nativity story through an African-American gospel lens.
-
E.
Kate Lanier
Kate Lanier is an American screenwriter known for writing films such as "Set It Off," "What's Love Got to Do with It," and "Glitter."
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf8a6048190970685a83fd2f59d |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5697ac9081909fe7ca06d0c3ef38 |
completed | March 31, 2026, 11:19 p.m. |
Created at: March 30, 2026, 5:18 p.m.