Triple
T3859823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dogs of War |
E90107
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
John Irvin
John Irvin is a British film director known for his work on war and action dramas, including the 1980 mercenary film "The Dogs of War."
|
E392254
|
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 Irvin | Statement: [The Dogs of War, director, John Irvin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Irvin Context triple: [The Dogs of War, director, John Irvin]
-
A.
Russell Carpenter
Russell Carpenter is an Academy Award–winning American cinematographer best known for his work on major films such as Titanic and other high-profile Hollywood productions.
-
B.
Richard Maibaum
Richard Maibaum was an American screenwriter and producer best known for his long-running work on the James Bond film series.
-
C.
John Irwin
John Irwin is a television producer best known for his work as an executive producer on major late-night talk shows, including The Jay Leno Show.
-
D.
Richard Langer
Richard Langer is a relatively obscure individual whose specific public notability is not clearly established from the available information.
-
E.
Kevin Kiner
Kevin Kiner is an American composer best known for his prolific work on film and television scores, including major franchises like Star Wars and DC Comics adaptations.
- 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 Irvin Triple: [The Dogs of War, director, John Irvin]
Generated description
John Irvin is a British film director known for his work on war and action dramas, including the 1980 mercenary film "The Dogs of War."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Irvin Target entity description: John Irvin is a British film director known for his work on war and action dramas, including the 1980 mercenary film "The Dogs of War."
-
A.
Russell Carpenter
Russell Carpenter is an Academy Award–winning American cinematographer best known for his work on major films such as Titanic and other high-profile Hollywood productions.
-
B.
Richard Maibaum
Richard Maibaum was an American screenwriter and producer best known for his long-running work on the James Bond film series.
-
C.
John Irwin
John Irwin is a television producer best known for his work as an executive producer on major late-night talk shows, including The Jay Leno Show.
-
D.
Richard Langer
Richard Langer is a relatively obscure individual whose specific public notability is not clearly established from the available information.
-
E.
Kevin Kiner
Kevin Kiner is an American composer best known for his prolific work on film and television scores, including major franchises like Star Wars and DC Comics adaptations.
- 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_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec1ff39c8190b83a88abd840a0e3 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b50424b23c8190b888cfb79e26e758 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504ff7624819089f98794ec97ed8f |
completed | March 14, 2026, 6:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50594e4888190b2db45eee2a988a7 |
completed | March 14, 2026, 6:52 a.m. |
Created at: March 9, 2026, 3:19 p.m.