Triple
T5972340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke Evans |
E132901
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Owen Shaw
Owen Shaw is a skilled and ruthless British mercenary and criminal mastermind who serves as a primary antagonist in the Fast & Furious film franchise.
|
E559728
|
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: Owen Shaw | Statement: [Luke Evans, portrayed, Owen Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Owen Shaw Context triple: [Luke Evans, portrayed, Owen Shaw]
-
A.
Owen Davian
Owen Davian is the ruthless and highly intelligent arms dealer who serves as the primary antagonist in the film "Mission: Impossible III."
-
B.
Owen Moran
Owen Moran was a prominent early 20th-century English featherweight boxer known for his toughness and for facing many of the era’s top fighters.
-
C.
Owen Moore
Owen Moore was an Irish-born American silent film actor best known for his early Hollywood work and his tumultuous marriage to screen star Mary Pickford.
-
D.
Owen Nolan
Owen Nolan is a retired Canadian right winger known for his power-forward style, five NHL All-Star selections, and long tenure as captain of the San Jose Sharks.
-
E.
Owen Harper
Owen Harper is a central character in the British sci-fi series "Torchwood," serving as the team's acerbic and brilliant medical officer.
- 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: Owen Shaw Triple: [Luke Evans, portrayed, Owen Shaw]
Generated description
Owen Shaw is a skilled and ruthless British mercenary and criminal mastermind who serves as a primary antagonist in the Fast & Furious film franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Owen Shaw Target entity description: Owen Shaw is a skilled and ruthless British mercenary and criminal mastermind who serves as a primary antagonist in the Fast & Furious film franchise.
-
A.
Owen Davian
Owen Davian is the ruthless and highly intelligent arms dealer who serves as the primary antagonist in the film "Mission: Impossible III."
-
B.
Owen Moran
Owen Moran was a prominent early 20th-century English featherweight boxer known for his toughness and for facing many of the era’s top fighters.
-
C.
Owen Moore
Owen Moore was an Irish-born American silent film actor best known for his early Hollywood work and his tumultuous marriage to screen star Mary Pickford.
-
D.
Owen Nolan
Owen Nolan is a retired Canadian right winger known for his power-forward style, five NHL All-Star selections, and long tenure as captain of the San Jose Sharks.
-
E.
Owen Harper
Owen Harper is a central character in the British sci-fi series "Torchwood," serving as the team's acerbic and brilliant medical officer.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a00c3588190b335d7d3341b6d68 |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40fa2488190b82d604d51b73090 |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0f85e33d8819080d9d721421b4c5b |
completed | March 23, 2026, 8:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0fad0bdf08190bf6599d492848582 |
completed | March 23, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:03 p.m.