Triple
T7905387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Christmas Carol |
E183562
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Jacob Marley |
E686495
|
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: Jacob Marley | Statement: [A Christmas Carol, character, Jacob Marley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacob Marley Context triple: [A Christmas Carol, character, Jacob Marley]
-
A.
Marley
Marley is the surname of the legendary Jamaican reggae musician and cultural icon Bob Marley.
-
B.
Ebenezer Hazard
Ebenezer Hazard was an early American postmaster and antiquarian who served as the first Postmaster General of the United States under the Constitution.
-
C.
Reverend Mr. Black
"Reverend Mr. Black" is a 1963 folk song popularized by the Kingston Trio that tells a moralistic story about a preacher’s steadfast faith and integrity.
-
D.
Goofy as Jacob Marley
chosen
Goofy as Jacob Marley is a comedic Disney reinterpretation of the ghostly character from Charles Dickens' "A Christmas Carol," portrayed by Goofy in the animated film "Mickey's Christmas Carol."
-
E.
J. Peverell Marley
J. Peverell Marley was an American cinematographer known for his work on major Hollywood productions in the early to mid-20th century.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a56c9f0819094dc87fe55a8823e |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc9dfa88190aa5261bdf44823ab |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:03 p.m.