Triple
T15736223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharine Houghton |
E381478
|
entity |
| Predicate | performerIn |
P17435
|
FINISHED |
| Object | Mr. North |
E768666
|
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: Mr. North | Statement: [Katharine Houghton, performerIn, Mr. North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. North Context triple: [Katharine Houghton, performerIn, Mr. North]
-
A.
Mr. North
chosen
Mr. North is a 1988 American comedy-drama film set in 1920s Newport, Rhode Island, following a young man whose supposed healing powers disrupt the town’s high-society routines.
-
B.
Eric Northman
Eric Northman is a centuries-old Viking vampire and charismatic bar owner who serves as a powerful and morally complex figure in the television series True Blood.
-
C.
Frank North
Frank North was a 19th-century American military officer and frontiersman best known for organizing and leading the Pawnee Scouts for the U.S. Army during the Indian Wars.
-
D.
Jack Snow
Jack Snow was an American writer best known for continuing L. Frank Baum’s Oz series with additional novels and stories.
-
E.
John Kenworthy
John Kenworthy was a British aircraft designer best known for his work on World War I fighter aircraft such as the Royal Aircraft Factory S.E.5.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd586a88190aa1b1b88368d386f |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8300a4248190ba52573b57f31b36 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.