Triple
T7024827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Gun for Hire |
E162916
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Philip Raven
Philip Raven is a cold, efficient professional hitman and the morally ambiguous antihero of the film noir "This Gun for Hire."
|
E636815
|
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: Philip Raven | Statement: [This Gun for Hire, character, Philip Raven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Raven Context triple: [This Gun for Hire, character, Philip Raven]
-
A.
Philip Sabes
Philip Sabes is a neuroscientist and entrepreneur known for his work on brain–computer interfaces and for co-founding the neurotechnology company Neuralink.
-
B.
Paul Blackthorne
Paul Blackthorne is a British actor best known for his role as Detective Quentin Lance on the television series "Arrow."
-
C.
Simon Raven
Simon Raven was an English novelist, playwright, and screenwriter best known for his acerbic wit and adaptations of classic literary works for television.
-
D.
Carl Piper
Carl Piper was a prominent Swedish statesman and close adviser to King Charles XII during the Great Northern War.
-
E.
John Stonehouse
John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
- 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: Philip Raven Triple: [This Gun for Hire, character, Philip Raven]
Generated description
Philip Raven is a cold, efficient professional hitman and the morally ambiguous antihero of the film noir "This Gun for Hire."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Philip Raven Target entity description: Philip Raven is a cold, efficient professional hitman and the morally ambiguous antihero of the film noir "This Gun for Hire."
-
A.
Philip Sabes
Philip Sabes is a neuroscientist and entrepreneur known for his work on brain–computer interfaces and for co-founding the neurotechnology company Neuralink.
-
B.
Paul Blackthorne
Paul Blackthorne is a British actor best known for his role as Detective Quentin Lance on the television series "Arrow."
-
C.
Simon Raven
Simon Raven was an English novelist, playwright, and screenwriter best known for his acerbic wit and adaptations of classic literary works for television.
-
D.
Carl Piper
Carl Piper was a prominent Swedish statesman and close adviser to King Charles XII during the Great Northern War.
-
E.
John Stonehouse
John Stonehouse was a British Labour politician and former cabinet minister best known for faking his own death in 1974 in an attempt to escape financial and legal troubles.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fb8f0c8190b15dd7ce7ab6a8f2 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77581e2a88190ad2ec9855772c6a5 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7768f12648190a8e9855af2458a94 |
completed | March 28, 2026, 6:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c776bdf56c8190a9fa83d6f2697f1b |
completed | March 28, 2026, 6:35 a.m. |
Created at: March 27, 2026, 2:35 p.m.