Triple
T13764751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathryn Ann Bailey |
E330709
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kathryn Ann Bailey |
E330709
|
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: Kathryn Ann Bailey | Statement: [Kathryn Ann Bailey, name, Kathryn Ann Bailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathryn Ann Bailey Context triple: [Kathryn Ann Bailey, name, Kathryn Ann Bailey]
-
A.
Kathryn Ann Bailey
chosen
Kathryn Ann Bailey is the birth name of Kay Bailey Hutchison, a longtime U.S. senator from Texas and former U.S. ambassador to NATO.
-
B.
Katherine Bailess
Katherine Bailess is an American actress and dancer best known for her role as Kyle Hart on the VH1 drama series "Hit the Floor."
-
C.
Kathryn Stevens
Kathryn Stevens is known as the daughter of the late U.S. Supreme Court Justice John Paul Stevens.
-
D.
Kathryn Boyd
Kathryn Boyd is an American model and former assistant who later became the wife of actor Josh Brolin.
-
E.
Kathryn Hays
Kathryn Hays was an American actress best known for her long-running role as Kim Hughes on the soap opera "As the World Turns."
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de022690ac8190bd5410ecc659a2a7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce667c248190a9d0a0f1e9e228ae |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:10 p.m.