Triple
T2021204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Hughes |
E44108
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | John Hughes |
unclear NED1
|
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 Hughes | Statement: [Sarah Hughes, father, John Hughes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hughes Context triple: [Sarah Hughes, father, John Hughes]
-
A.
John Hughes
John Hughes was a 19th-century Irish-born American Catholic archbishop of New York who played a major role in expanding Catholic education in the United States.
-
B.
Ivan Reitman
Ivan Reitman was a Canadian-American film director and producer best known for directing hit comedies such as "Ghostbusters," "Stripes," and "Kindergarten Cop."
-
C.
John F. Hughes
John F. Hughes is a computer scientist known for his contributions to computer graphics and as a co-author of the influential textbook "Computer Graphics: Principles and Practice."
-
D.
Reg Rogers
Reg Rogers is an American character actor known for his work in film, television, and theater, often portraying eccentric or villainous roles.
-
E.
Harold Ramis
Harold Ramis was an American actor, writer, and director best known for his work on classic comedy films such as Ghostbusters, Caddyshack, and Groundhog Day.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0af60fac8190bc8c8a212a422305 |
completed | March 8, 2026, 11:49 p.m. |
Created at: March 4, 2026, 7:38 p.m.