Triple
T14323795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanita Strahan |
E355162
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Strahan |
E32074
|
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: Strahan | Statement: [Tanita Strahan, familyName, Strahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strahan Context triple: [Tanita Strahan, familyName, Strahan]
-
A.
Strahan
chosen
Strahan is a surname most prominently associated with Michael Strahan, the former NFL star and television personality.
-
B.
Toland
Toland is a surname most notably associated with Gregg Toland, the pioneering American cinematographer renowned for his innovative deep-focus techniques in films like "Citizen Kane."
-
C.
Elston
Elston is a masculine given name most notably associated with Elston Howard, the pioneering African American catcher for the New York Yankees.
-
D.
Jennings
Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
-
E.
Oleary
Oleary is a variant spelling of the Irish surname O'Leary, commonly used as a family name.
- 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_69fd468e263c81909d7261bcfd949579 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:13 a.m.