Triple
T11498937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Scorpion King 3: Battle for Redemption |
E272613
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Selina Lo
Selina Lo is an actress and martial artist known for her roles in action and fantasy films.
|
E929274
|
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: Selina Lo | Statement: [The Scorpion King 3: Battle for Redemption, stars, Selina Lo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selina Lo Context triple: [The Scorpion King 3: Battle for Redemption, stars, Selina Lo]
-
A.
Lily Chan
Lily Chan is the emotionally driven software engineer protagonist of the sci-fi TV series "Devs," whose investigation into her boyfriend’s death uncovers a secretive quantum computing project.
-
B.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
-
C.
Ma Lo
"Ma Lo" is a popular Afrobeats song by Nigerian singer Tiwa Savage, known for its smooth blend of R&B and Afro-pop rhythms.
-
D.
Cindy Cheung
Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
-
E.
Leslie Chow
Leslie Chow is a wildly eccentric, foul-mouthed, and unpredictable gangster character from The Hangover film series, known for his outrageous antics and chaotic energy.
- 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: Selina Lo Triple: [The Scorpion King 3: Battle for Redemption, stars, Selina Lo]
Generated description
Selina Lo is an actress and martial artist known for her roles in action and fantasy films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selina Lo Target entity description: Selina Lo is an actress and martial artist known for her roles in action and fantasy films.
-
A.
Lily Chan
Lily Chan is the emotionally driven software engineer protagonist of the sci-fi TV series "Devs," whose investigation into her boyfriend’s death uncovers a secretive quantum computing project.
-
B.
Estella Kwan
Estella Kwan is the mother of American figure skating champion Michelle Wingshan Kwan.
-
C.
Ma Lo
"Ma Lo" is a popular Afrobeats song by Nigerian singer Tiwa Savage, known for its smooth blend of R&B and Afro-pop rhythms.
-
D.
Cindy Cheung
Cindy Cheung is an American actress known for her work in independent films and television, often appearing in character-driven dramas and comedies.
-
E.
Leslie Chow
Leslie Chow is a wildly eccentric, foul-mouthed, and unpredictable gangster character from The Hangover film series, known for his outrageous antics and chaotic energy.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de27db081909ccdb4ab0ef75bdb |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e604aa9e3c8190ad86e4d05a67c8ac |
completed | April 20, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69e610a82c308190927158dbd566b0d4 |
completed | April 20, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e61853a3b48190b0d132761e9be69c |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.