Triple
T15624266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shi Qiang |
E375640
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object |
Da Shi
Da Shi is the gruff, street-smart police detective Shi Qiang from Liu Cixin’s *The Three-Body Problem* trilogy, known for his pragmatism and pivotal role in the series.
|
E1167723
|
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: Da Shi | Statement: [Shi Qiang, hasAlias, Da Shi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Shi Context triple: [Shi Qiang, hasAlias, Da Shi]
-
A.
Shen Dao
Shen Dao is the ceremonial spirit road leading to the Ming Tombs near Beijing, lined with stone statues and monuments that honor deceased emperors.
-
B.
Qi Daji
Qi Daji is an actor known for appearing in the film or television production identified as "Special ID."
-
C.
Ding Zhao
Ding Zhao is a personal name borne by multiple individuals, typically of Chinese origin, across various professional and academic fields.
-
D.
Chu Lai
Chu Lai was a major U.S. Marine Corps base and airfield complex used during the Vietnam War along the central coast of South Vietnam.
-
E.
Zhang Ding
Zhang Ding was a prominent Chinese artist and designer best known for creating iconic national symbols of the People’s Republic of China.
- 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: Da Shi Triple: [Shi Qiang, hasAlias, Da Shi]
Generated description
Da Shi is the gruff, street-smart police detective Shi Qiang from Liu Cixin’s *The Three-Body Problem* trilogy, known for his pragmatism and pivotal role in the series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Da Shi Target entity description: Da Shi is the gruff, street-smart police detective Shi Qiang from Liu Cixin’s *The Three-Body Problem* trilogy, known for his pragmatism and pivotal role in the series.
-
A.
Shen Dao
Shen Dao is the ceremonial spirit road leading to the Ming Tombs near Beijing, lined with stone statues and monuments that honor deceased emperors.
-
B.
Qi Daji
Qi Daji is an actor known for appearing in the film or television production identified as "Special ID."
-
C.
Ding Zhao
Ding Zhao is a personal name borne by multiple individuals, typically of Chinese origin, across various professional and academic fields.
-
D.
Chu Lai
Chu Lai was a major U.S. Marine Corps base and airfield complex used during the Vietnam War along the central coast of South Vietnam.
-
E.
Zhang Ding
Zhang Ding was a prominent Chinese artist and designer best known for creating iconic national symbols of the People’s Republic of China.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3f65dc8190ac94db1d4d53d77f |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff60188df48190a1cc891757a795d0 |
completed | May 9, 2026, 4:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff60938ef081908cd88cf8242bc785 |
completed | May 9, 2026, 4:28 p.m. |
Created at: April 10, 2026, 4:14 a.m.