Triple
T14809399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Flack |
E348132
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Eddie Cahill |
E350889
|
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: Eddie Cahill | Statement: [Don Flack, portrayedBy, Eddie Cahill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Cahill Context triple: [Don Flack, portrayedBy, Eddie Cahill]
-
A.
Eddie Cahill
chosen
Eddie Cahill is an American actor best known for his role as Detective Don Flack on the television series CSI: NY.
-
B.
Joe Kavanagh
Joe Kavanagh is the troubled, recovering alcoholic protagonist of the Irish film "My Name Is Joe," whose struggles with addiction, love, and poverty drive the story’s emotional core.
-
C.
Jack Egan
Jack Egan is a cast member associated with the production or project titled "Netherland Dwarf."
-
D.
Jack Doolan
Jack Doolan is a British actor best known for his role in the coming-of-age comedy-drama film "Cemetery Junction" and various appearances in UK television series.
-
E.
Charlie O’Connell
Charlie O’Connell is an American actor and television personality known for roles in film and TV as well as for appearing on reality shows like "The Bachelor."
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b47389c8190ab0a46e3b4653a2a |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:45 a.m.