Triple
T11377096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Phillip Law |
E269497
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of American actor John Phillip Law, known for his roles in films such as "Barbarella" and "The Golden Voyage of Sinbad."
|
E922170
|
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 Phillip Law, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Phillip Law, givenName, John]
-
A.
John
John is the given name of English comedian, actor, and writer John Cleese, a founding member of the legendary comedy group Monty Python.
-
B.
John
John is the given name of the British physicist J. J. Thomson, who is best known for discovering the electron and proposing the plum pudding model of the atom.
-
C.
John
John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
-
D.
John
John is the given name of the influential American jazz saxophonist and composer John Coltrane.
-
E.
John
John St. Clair Drake was an influential American sociologist and anthropologist known for his pioneering studies of race relations and urban Black life.
- 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 Phillip Law, givenName, John]
Generated description
John is the given name of American actor John Phillip Law, known for his roles in films such as "Barbarella" and "The Golden Voyage of Sinbad."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of American actor John Phillip Law, known for his roles in films such as "Barbarella" and "The Golden Voyage of Sinbad."
-
A.
John
John is the given name of American actor John Dall, known for his roles in classic films such as "Rope" and "Gun Crazy."
-
B.
John
John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
-
C.
John
John is the given name of American actor John Hodiak, known for his roles in mid-20th-century Hollywood films.
-
D.
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.
-
E.
John
John is the birth name of American actor and filmmaker Jack Nicholson, one of cinema’s most acclaimed and iconic performers.
- F. None of above. chosen
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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8e6d44819095f949581421e98e |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55667d4908190b6290135eba41e54 |
completed | April 19, 2026, 10:25 p.m. |
| NEDg | Description generation | batch_69e562c8fb948190be87cca65c3b74e1 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56aaa5c9081909f89cfe6a8fc03f0 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 8, 2026, 9:33 p.m.