Triple
T12308468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Gordon |
E293414
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Richard Gordon |
E293414
|
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: Richard Gordon | Statement: [Richard Gordon, name, Richard Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Gordon Context triple: [Richard Gordon, name, Richard Gordon]
-
A.
Richard Gordon
chosen
Richard Gordon is a character in Ernest Hemingway’s novel and its film adaptation "To Have and Have Not," involved in the story’s tense mix of romance, crime, and political intrigue.
-
B.
Robert Lovell
Robert Lovell is known primarily as the husband of Mary Fricker.
-
C.
J. R. Clynes
J. R. Clynes was a British Labour politician who served as Leader of the Labour Party and held senior government posts in the early 20th century.
-
D.
George Michael Low
George Michael Low was an Austrian-born American aerospace engineer and NASA administrator who played a key leadership role in the Apollo program and later served as president of Rensselaer Polytechnic Institute.
-
E.
Robert Wisdom
Robert Wisdom is an American actor best known for his role as Major Howard "Bunny" Colvin on the television series "The Wire."
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f01ace8819087f245b9216f4dc8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e8243d48190baf25b2927de6c62 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.