Triple
T16072405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Frankenheimer |
E389895
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of American film and television director John Frankenheimer, known for works like "The Manchurian Candidate" and "Ronin."
|
E1193738
|
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 Frankenheimer, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Frankenheimer, givenName, John]
-
A.
John
John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
-
B.
John
John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
-
C.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
D.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
E.
John
John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
- 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 Frankenheimer, givenName, John]
Generated description
John is the given name of American film and television director John Frankenheimer, known for works like "The Manchurian Candidate" and "Ronin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of American film and television director John Frankenheimer, known for works like "The Manchurian Candidate" and "Ronin."
-
A.
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."
-
B.
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."
-
C.
John
John is the given name of American filmmaker John Hughes, known for his influential 1980s teen comedies and coming-of-age films.
-
D.
John
John is the first name of American filmmaker John Lee Hancock, known for directing and writing several popular Hollywood films.
-
E.
John
John is the given name of American actor John Dall, known for his roles in classic films such as "Rope" and "Gun Crazy."
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183bf6c488190b0099a00f13f2a69 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb8b1b2c8190949943b20f2f8574 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec06b344819093f164f15f104717 |
completed | May 10, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffec9fc93881909b80bbfe324ebc2c |
completed | May 10, 2026, 2:25 a.m. |
Created at: April 10, 2026, 4:57 a.m.