Triple
T3695966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simone Buitendijk |
E78458
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Simone |
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: Simone | Statement: [Simone Buitendijk, givenName, Simone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simone Context triple: [Simone Buitendijk, givenName, Simone]
-
A.
Simone
chosen
Simone is a feminine given name of Hebrew origin meaning "hearkening" or "one who listens," widely used across various cultures.
-
B.
Lovie Simone
Lovie Simone is an American actress best known for her roles in film and television, including the series "Greenleaf" and various independent dramas.
-
C.
Simone Smith
Simone Smith is an American jewelry designer and entrepreneur best known for her long-term marriage to rapper and actor LL Cool J and her work in fashion and philanthropy.
-
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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc50f9ad88190a926042fa73d65dc |
completed | March 8, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3d4821081909ccd1b5789eb761e |
completed | March 14, 2026, 2:11 a.m. |
Created at: March 8, 2026, 3:26 p.m.