Triple
T12142572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Deegan |
E289223
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Deegan |
E661752
|
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: Deegan | Statement: [Donna Deegan, familyName, Deegan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deegan Context triple: [Donna Deegan, familyName, Deegan]
-
A.
Deegan
chosen
Deegan is an Irish-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
-
B.
Coutras
Coutras is a commune in southwestern France known historically as the site of a major battle during the French Wars of Religion.
-
C.
Lester Freamon
Lester Freamon is a meticulous, soft-spoken detective in the TV series "The Wire," renowned for his patience, investigative brilliance, and skill at unraveling complex financial and wiretap cases.
-
D.
Jon DeVaan
Jon DeVaan is a longtime Microsoft engineering leader known for his key roles in developing and managing core Windows and Office technologies.
-
E.
Dana Brown
Dana Brown is a Major League Baseball executive best known as the general manager of the Houston Astros, overseeing the club’s player personnel and roster decisions.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f69501348190a9ac090c7db37c20 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.