Triple
T21636929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strachan |
E533984
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Strahan |
—
|
NE NERFINISHED |
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: [Strachan, hasVariantSpelling, Strahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strahan Context triple: [Strachan, hasVariantSpelling, Strahan]
-
A.
Strahan
chosen
Strahan is a surname most prominently associated with Michael Strahan, the former NFL star and television personality.
-
B.
Trahan
Trahan is a surname most notably associated with Lori Trahan, a U.S. politician serving in the House of Representatives.
-
C.
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."
-
D.
Elston
Elston is a masculine given name most notably associated with Elston Howard, the pioneering African American catcher for the New York Yankees.
-
E.
Stritch
Stritch is a surname most notably associated with American Cardinal Samuel Stritch, a prominent 20th-century Catholic church leader.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538ddb088190a3cba6fdc84c0ae8 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.