Triple
T7024860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sullivan's Travels |
E162917
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Eric Blore |
E224391
|
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: Eric Blore | Statement: [Sullivan's Travels, stars, Eric Blore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eric Blore Context triple: [Sullivan's Travels, stars, Eric Blore]
-
A.
Eric Blore
chosen
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
-
B.
Jon Cornish
Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
-
C.
Don Rhymer
Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
-
D.
Ed Shearmur
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
-
E.
Anthony Rogers
Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78857d23c8190904a90459a802cb8 |
completed | March 28, 2026, 7:50 a.m. |
Created at: March 27, 2026, 2:35 p.m.