Triple
T7694346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yao Chen |
E174332
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lurk
Lurk is a highly acclaimed Chinese espionage television drama series known for its intricate plotting and nuanced portrayal of undercover agents during the Chinese Civil War era.
|
E682798
|
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: Lurk | Statement: [Yao Chen, notableWork, Lurk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lurk Context triple: [Yao Chen, notableWork, Lurk]
-
A.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
B.
Larrelt
Larrelt is a district of the German seaport city of Emden in Lower Saxony.
-
C.
Lurs
Lurs are an Iranian ethnic group primarily inhabiting western and southwestern Iran, known for their distinct Luri language and rich tribal and pastoral traditions.
-
D.
Laarks
Laarks is an American indie rock band known for its layered, experimental sound and connections to other Midwest alternative music projects.
-
E.
Lugnut
Lugnut is the costumed mascot character for the Lansing Lugnuts minor league baseball team, entertaining fans at games and team events.
- 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: Lurk Triple: [Yao Chen, notableWork, Lurk]
Generated description
Lurk is a highly acclaimed Chinese espionage television drama series known for its intricate plotting and nuanced portrayal of undercover agents during the Chinese Civil War era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lurk Target entity description: Lurk is a highly acclaimed Chinese espionage television drama series known for its intricate plotting and nuanced portrayal of undercover agents during the Chinese Civil War era.
-
A.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
B.
Larrelt
Larrelt is a district of the German seaport city of Emden in Lower Saxony.
-
C.
Lurs
Lurs are an Iranian ethnic group primarily inhabiting western and southwestern Iran, known for their distinct Luri language and rich tribal and pastoral traditions.
-
D.
Laarks
Laarks is an American indie rock band known for its layered, experimental sound and connections to other Midwest alternative music projects.
-
E.
Lugnut
Lugnut is the costumed mascot character for the Lansing Lugnuts minor league baseball team, entertaining fans at games and team events.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702459f988190bf7087bf51d5317f |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8aca5f3388190b25e70caa364d712 |
completed | March 29, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69c8adeb3948819087404b0d7d7e619e |
completed | March 29, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8aedede388190b8eb79cea223c31c |
completed | March 29, 2026, 4:47 a.m. |
Created at: March 27, 2026, 4:02 p.m.