Triple
T3403790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanita Strahan |
E71719
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Sophia Strahan |
E49071
|
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: Sophia Strahan | Statement: [Tanita Strahan, relative, Sophia Strahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophia Strahan Context triple: [Tanita Strahan, relative, Sophia Strahan]
-
A.
Sophia Strahan
chosen
Sophia Strahan is one of former NFL star and television host Michael Strahan’s twin daughters, known publicly through her appearances with her father in media and on social platforms.
-
B.
Sofia Richie
Sofia Richie is an American model and social media personality known for her fashion work with major brands and her presence in celebrity culture.
-
C.
Sophia Hull
Sophia Hull was the wife of British colonial administrator Sir Thomas Stamford Raffles and is noted for her role in supporting his work and preserving his legacy.
-
D.
Mia Dolan
Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
-
E.
Sophia Pitt
Sophia Pitt was an 18th-century English gentlewoman known primarily as the wife of Royal Navy admiral Sir George Pocock.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8e8ea848190b4ac167f1aba8ebd |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35468916c8190ba6caa2c53e01d9c |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:14 p.m.