Triple
T19546030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Shannon |
E489051
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Harry Shannon |
—
|
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: Harry Shannon | Statement: [Harry Shannon, name, Harry Shannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Shannon Context triple: [Harry Shannon, name, Harry Shannon]
-
A.
Harry Shannon
chosen
Harry Shannon was an American character actor known for his numerous supporting roles in mid-20th-century films and television, often portraying authority figures or rugged Western characters.
-
B.
Gerald Shannon
Gerald Shannon is a central character in the 1935 romantic drama film "The Dark Angel," around whom much of the story’s emotional conflict revolves.
-
C.
Chuck Shuman
Chuck Shuman is a cinematographer best known for his work on the 2008 adventure film "Journey to the Center of the Earth."
-
D.
Bill Shannon
Bill Shannon was one of the mushers who participated in the 1925 serum run to Nome, helping relay life-saving diphtheria antitoxin across Alaska.
-
E.
Frank Shannon
Frank Shannon was an Irish-American character actor best known for his roles in early 20th-century films and serials, particularly in science fiction and adventure genres.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63876bacc8190b17e2087de679785 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.