Triple
T19670717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doherty |
E472327
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Dougherty |
—
|
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: Dougherty | Statement: [Doherty, hasVariant, Dougherty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dougherty Context triple: [Doherty, hasVariant, Dougherty]
-
A.
Dougherty
chosen
Dougherty is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
B.
McClenny
McClenny is a surname most notably associated with individuals such as Carr Bowers McClenny.
-
C.
Troup
Troup is a surname of Scottish origin borne by various notable individuals, including politicians, artists, and public figures.
-
D.
Taliaferro
Taliaferro is the distinctive middle name of influential African American educator and leader Booker T. Washington.
-
E.
Bibb
Bibb is a surname of English origin borne by various notable individuals, including early American politician William Wyatt Bibb.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416b9cf8819096f44e3f9fbf86fa |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.