Triple
T14323800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Strahan |
E355162
|
entity |
| Predicate | child |
P120
|
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: [Michael Strahan, child, Tanita Strahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanita Strahan Context triple: [Michael Strahan, child, 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.
Maria Reachi
Maria Reachi is the daughter of silent film actress Agnes Ayres and Mexican film producer Manuel Reachi.
-
C.
Teri Austin
Teri Austin is a Canadian actress best known for her role as the scheming Jill Bennett on the prime-time soap opera "Knots Landing."
-
D.
Teri Hudson
Teri Hudson is the wife of Stanley Hudson, a character from the American television series "The Office."
-
E.
Stefanie Scott
Stefanie Scott is an American actress and singer best known for her roles in the Disney Channel series "A.N.T. Farm" and various horror and thriller films.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda907abf88190b86ce65390d9ca40 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:13 a.m.