Triple
T2232374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlem Nights |
E49197
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | John Carter |
E26533
|
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: John Carter | Statement: [Harlem Nights, editedBy, John Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Carter Context triple: [Harlem Nights, editedBy, John Carter]
-
A.
John Carter
chosen
John Carter is a film editor best known for his work on notable movies such as the 1995 drama "Waiting to Exhale."
-
B.
Buck Rogers
Buck Rogers is a pioneering science fiction hero who popularized space adventure in early 20th-century American comics, radio, film serials, and television.
-
C.
Elias Kane
Elias Kane was an early 19th-century American politician and lawyer who served as Illinois’ first secretary of state and later as a U.S. senator.
-
D.
Cyrus Griffin
Cyrus Griffin was an American lawyer, judge, and politician who served as the last president of the Continental Congress before the adoption of the U.S. Constitution.
-
E.
Hank Morgan
Hank Morgan is the pragmatic 19th-century American engineer who, transported back to King Arthur’s Britain in Mark Twain’s satirical novel, uses his modern knowledge to upend medieval society.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc06d26bc8190a85ddb6312d2df08 |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b001ee481909b28aea25ad7b906 |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:47 p.m.