Triple
T1093261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Frye |
E24213
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dwight Frye |
E24213
|
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: Dwight Frye | Statement: [Dwight Frye, name, Dwight Frye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dwight Frye Context triple: [Dwight Frye, name, Dwight Frye]
-
A.
Dwight Frye
chosen
Dwight Frye was an American character actor best known for his intense, often deranged roles in early horror films such as "Dracula" and "Frankenstein."
-
B.
John William Ferrell
John William Ferrell is an American actor, comedian, producer, and writer best known for his work on "Saturday Night Live" and in hit comedy films such as "Anchorman" and "Elf."
-
C.
Clifton Daniel
Clifton Daniel was an American newspaper editor and managing editor of The New York Times, known also as the son-in-law of U.S. President Harry S. Truman.
-
D.
Frank Gaylord
Frank Gaylord was an American sculptor best known for creating the statues of soldiers at the Korean War Veterans Memorial in Washington, D.C.
-
E.
Jeffrey Jones
Jeffrey Jones is an American character actor best known for his roles in films such as "Ferris Bueller's Day Off," "Beetlejuice," and "Amadeus."
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99bd06c8190bce1d77b0337b07c |
completed | March 1, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac66293b5c819091eb69db328d5698 |
completed | March 7, 2026, 5:53 p.m. |
Created at: March 1, 2026, 7:42 p.m.