Triple
T3403771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanita Strahan |
E71719
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tanita Strahan |
E71719
|
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: Tanita Strahan | Statement: [Tanita Strahan, name, Tanita Strahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanita Strahan Context triple: [Tanita Strahan, name, Tanita Strahan]
-
A.
Tanita Strahan
chosen
Tanita Strahan is an American visual artist and the eldest daughter of former NFL star and television personality Michael Strahan.
-
B.
Tiffany Burress
Tiffany Burress is best known as the wife of former NFL wide receiver Plaxico Burress.
-
C.
Debralee Scott
Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
-
D.
Angelica Ross
Angelica Ross is an American actress, producer, and transgender rights advocate best known for her groundbreaking roles in series like "Pose" and "American Horror Story."
-
E.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
- 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_69b503d6cd9c81908acb288091503ec1 |
completed | March 14, 2026, 6:44 a.m. |
Created at: March 8, 2026, 3:14 p.m.