Triple
T18298532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Known Space |
E438294
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Louis Wu
Louis Wu is a central human protagonist in Larry Niven’s Known Space science fiction series, best known for his role in the novel "Ringworld."
|
E1319813
|
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: Louis Wu | Statement: [Known Space, notableCharacter, Louis Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Wu Context triple: [Known Space, notableCharacter, Louis Wu]
-
A.
Jeff Wu
Jeff Wu is a machine learning researcher known for his work on large language models, including co-authoring the original GPT-2 paper at OpenAI.
-
B.
Leo Wu
Leo Wu is a popular Chinese actor known for his roles in historical and fantasy television dramas and films.
-
C.
Chi Cheng
Chi Cheng was an American musician best known as the original bassist for the alternative metal band Deftones.
-
D.
Lu Chen
Lu Chen is a Chinese figure skater known for working with renowned choreographer Lori Nichol on her competitive programs.
-
E.
Chan Hung
Chan Hung is the unseen, enigmatic title character whose mysterious disappearance drives the plot of the 1982 independent film "Chan Is Missing."
- 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: Louis Wu Triple: [Known Space, notableCharacter, Louis Wu]
Generated description
Louis Wu is a central human protagonist in Larry Niven’s Known Space science fiction series, best known for his role in the novel "Ringworld."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Louis Wu Target entity description: Louis Wu is a central human protagonist in Larry Niven’s Known Space science fiction series, best known for his role in the novel "Ringworld."
-
A.
Jeff Wu
Jeff Wu is a machine learning researcher known for his work on large language models, including co-authoring the original GPT-2 paper at OpenAI.
-
B.
Leo Wu
Leo Wu is a popular Chinese actor known for his roles in historical and fantasy television dramas and films.
-
C.
Chi Cheng
Chi Cheng was an American musician best known as the original bassist for the alternative metal band Deftones.
-
D.
Lu Chen
Lu Chen is a Chinese figure skater known for working with renowned choreographer Lori Nichol on her competitive programs.
-
E.
Chan Hung
Chan Hung is the unseen, enigmatic title character whose mysterious disappearance drives the plot of the 1982 independent film "Chan Is Missing."
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017d96588190ac1e326803142976 |
completed | April 19, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc17dc388190b4c772d0e8d22f42 |
completed | May 13, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_6a03ce0d80388190af227d03e161f163 |
completed | May 13, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03cf6100448190b0e423f437f60f32 |
completed | May 13, 2026, 1:09 a.m. |
Created at: April 10, 2026, 10:35 a.m.