Triple
T16868473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starship Troopers 3: Marauder |
E410104
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Stephen Hogan
Stephen Hogan is an Irish actor best known for his role in the science fiction film "Starship Troopers 3: Marauder."
|
E1238074
|
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: Stephen Hogan | Statement: [Starship Troopers 3: Marauder, starring, Stephen Hogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Hogan Context triple: [Starship Troopers 3: Marauder, starring, Stephen Hogan]
-
A.
Duncan MacMillan
Duncan MacMillan is an American businessman best known as one of the co-founders of the global financial information and media company Bloomberg L.P.
-
B.
Duncan MacMillan
Duncan MacMillan is an American businessman best known as a co-founder of Interactive Data Corporation, a major provider of financial market data and analytics.
-
C.
Michael Caton-Jones
Michael Caton-Jones is a Scottish film director known for works such as "Scandal," "Rob Roy," and "The Jackal."
-
D.
Sam Winder
Sam Winder is a person notable enough to be specifically recorded as a bearer of the surname Winder.
-
E.
Neil Clarke
Neil Clarke is an influential science fiction editor and publisher, best known as the founder and editor-in-chief of the award-winning magazine Clarkesworld.
- 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: Stephen Hogan Triple: [Starship Troopers 3: Marauder, starring, Stephen Hogan]
Generated description
Stephen Hogan is an Irish actor best known for his role in the science fiction film "Starship Troopers 3: Marauder."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephen Hogan Target entity description: Stephen Hogan is an Irish actor best known for his role in the science fiction film "Starship Troopers 3: Marauder."
-
A.
Duncan MacMillan
Duncan MacMillan is an American businessman best known as one of the co-founders of the global financial information and media company Bloomberg L.P.
-
B.
Duncan MacMillan
Duncan MacMillan is an American businessman best known as a co-founder of Interactive Data Corporation, a major provider of financial market data and analytics.
-
C.
Michael Caton-Jones
Michael Caton-Jones is a Scottish film director known for works such as "Scandal," "Rob Roy," and "The Jackal."
-
D.
Sam Winder
Sam Winder is a person notable enough to be specifically recorded as a bearer of the surname Winder.
-
E.
Neil Clarke
Neil Clarke is an influential science fiction editor and publisher, best known as the founder and editor-in-chief of the award-winning magazine Clarkesworld.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50a82348190b3e33fd558aa3c7f |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2aba8c481908f5ff1ddc4b255cb |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c3b4a36c8190804b8616958002fc |
completed | May 10, 2026, 5:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c434d8f88190a71c1c4c8e475e33 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:24 a.m.