Triple
T12670114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hughes |
E302654
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of American filmmaker John Hughes, renowned for his influential 1980s teen comedies and coming-of-age films.
|
E759261
|
NE FINISHED |
How this triple was built (4 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 | Statement: [John Hughes, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Hughes, givenName, John]
-
A.
John
John is the nickname of John Riggins, a former American football running back best known for his Hall of Fame career with the Washington Redskins in the NFL.
-
B.
John
John is the given name of John Reith, the influential first Director-General of the BBC who shaped early public service broadcasting in the United Kingdom.
-
C.
John
John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
-
D.
John
John is the given first name of American character actor and comedian Rags Ragland.
-
E.
John
John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Triple: [John Hughes, givenName, John]
Generated description
John is the given name of American filmmaker John Hughes, renowned for his influential 1980s teen comedies and coming-of-age films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of American filmmaker John Hughes, renowned for his influential 1980s teen comedies and coming-of-age films.
-
A.
John
chosen
John is the given name of American filmmaker John Hughes, known for his influential 1980s teen comedies and coming-of-age films.
-
B.
John
John is the first name of American filmmaker John Lee Hancock, known for directing and writing several popular Hollywood films.
-
C.
John
John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
-
D.
John
John is the given name of American film director John Sturges, known for classic Westerns and action films such as "The Magnificent Seven" and "The Great Escape."
-
E.
John
John is the given name of American screenwriter and director John Milius, known for his work on films like "Apocalypse Now" and "Conan the Barbarian."
- F. None of above.
Provenance (5 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67190a20c8190918b465b67d25869 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6735b3de08190ab4665206fe71eb4 |
completed | May 2, 2026, 9:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6745a5c148190a76753fdb699706a |
completed | May 2, 2026, 10:02 p.m. |
Created at: April 9, 2026, 5:20 p.m.