Triple
T11844624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Affairs of Cellini |
E281742
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jessie Ralph |
E607215
|
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: Jessie Ralph | Statement: [The Affairs of Cellini, castMember, Jessie Ralph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessie Ralph Context triple: [The Affairs of Cellini, castMember, Jessie Ralph]
-
A.
Jessie Ralph
chosen
Jessie Ralph was an American character actress of stage and screen, best remembered for her supporting roles in classic 1930s and 1940s Hollywood films.
-
B.
Jessie Robins
Jessie Robins was a British character actress best known for her supporting role in the Beatles' 1967 film "Magical Mystery Tour."
-
C.
Elisha Cook Jr.
Elisha Cook Jr. was an American character actor best known for his portrayals of nervous, hapless, or morally compromised men in classic film noir and crime movies.
-
D.
Lee Tracy
Lee Tracy was an American stage and film actor best known for his rapid-fire delivery and portrayals of fast-talking reporters and politicians in early 20th-century cinema.
-
E.
Frankie Elkin
Frankie Elkin is a recurring protagonist in Lisa Gardner’s crime novels, known as an ordinary yet relentless woman who dedicates her life to finding missing people that the world has forgotten.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65b5ff08190bb58361f6a6acdca |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1679729c08190a9f6750586f90d8d |
completed | April 29, 2026, 2:06 a.m. |
Created at: April 8, 2026, 9:43 p.m.