Triple
T8381994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Eads |
E197712
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | George Coleman Eads III |
E197712
|
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: George Coleman Eads III | Statement: [George Eads, birthName, George Coleman Eads III]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Coleman Eads III Context triple: [George Eads, birthName, George Coleman Eads III]
-
A.
George Eads
chosen
George Eads is an American actor best known for his long-running role as Nick Stokes on the television series CSI: Crime Scene Investigation.
-
B.
Leo Parker
Leo Parker was an American baritone saxophonist known for his work in the bebop and hard bop jazz scenes of the 1940s and 1950s.
-
C.
Ben Cahoon
Ben Cahoon is a former Canadian Football League slotback widely regarded as one of the most reliable and productive receivers in Montreal Alouettes history.
-
D.
Myles Connolly
Myles Connolly was an American author, Hollywood screenwriter, and devout Catholic layman best known for his influential novel "Mr. Blue" and his work on numerous classic films.
-
E.
Jonathan Tucker
Jonathan Tucker is an American actor known for his intense, character-driven roles in film and television, including prominent performances in series like "Kingdom," "Westworld," and "City on a Hill."
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80dc96048190887d7df8bce5c1fd |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3967fd108190b045ea1328b1dc4b |
completed | April 2, 2026, 9:39 a.m. |
Created at: March 30, 2026, 6:02 p.m.