Triple
T15492378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Miljan |
E378723
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of American actor John Miljan, who was known for his prolific work in early Hollywood films, often portraying suave villains and authority figures.
|
E1160890
|
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 Miljan, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Miljan, givenName, John]
-
A.
John
John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
-
B.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
C.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
D.
John
John is the given name of Colonel John Parry, a fictional explorer and father of Lyra Belacqua in Philip Pullman’s "His Dark Materials" series.
-
E.
John
John is the given name of American billionaire businessman and media magnate John C. Malone.
- 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 Miljan, givenName, John]
Generated description
John is the given name of American actor John Miljan, who was known for his prolific work in early Hollywood films, often portraying suave villains and authority figures.
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 Miljan, who was known for his prolific work in early Hollywood films, often portraying suave villains and authority figures.
-
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 Phillip Law, known for his roles in films such as "Barbarella" and "The Golden Voyage of Sinbad."
-
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 American screenwriter and director John Milius, known for his work on films like "Apocalypse Now" and "Conan the Barbarian."
-
E.
John
John is the given name of John Ireland, an Irish-born American actor and film director known for his roles in classic Hollywood cinema.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff36595bfc8190a0d60b3cb875ccc5 |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff376dac388190ab3b7e3553d2de29 |
completed | May 9, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff382f1bbc8190810d0d825430f9ea |
completed | May 9, 2026, 1:35 p.m. |
Created at: April 10, 2026, 3:49 a.m.